Search results for "Data Structures in Depth Using C"
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Managing and Mining Uncertain Data
Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups.
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Scattering Analysis of Periodic Structures using Finite-Difference Time-Domain Method
Periodic structures are of great importance in electromagnetics due to their wide range of applications such as frequency selective surfaces (FSS), electromagnetic band gap (EBG) structures, periodic absorbers, meta-materials, and many others. The aim of this book is to develop efficient computational algorithms to analyze the scattering properties of various electromagnetic periodic structures using the finite-difference time-domain periodic boundary condition (FDTD/PBC) method. A new FDTD/PBC-based algorithm is introduced to analyze general skewed grid periodic structures while another algorithm is developed to analyze dispersive periodic structures. Moreover, the proposed algorithms are successfully integrated with the generalized scattering matrix (GSM) technique, identified as the hybrid FDTD-GSM algorithm, to efficiently analyze multilayer periodic structures. All the developed algorithms are easy to implement and are efficient in both computational time and memory usage. These algorithms are validated through several numerical test cases. The computational methods presented in this book will help scientists and engineers to investigate and design novel periodic structures and to explore other research frontiers in electromagnetics.Table of Contents: Introduction / FDTD Method and Periodic Boundary Conditions / Skewed Grid Periodic Structures / Dispersive Periodic Structures / Multilayered Periodic Structures / Conclusions
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Local Strength of Ship Structures
Ship structures can be extremely large, and their structural arrangements are often complex and of a considerable variety. Local Strength of Ship Structures examines the basic aspects of ship structural analysis and design using mathematical tools, with an emphasis on an understanding of the physics of the behaviour of these structures. A fundamental understanding of these concepts is essential to use computer‑based tools effectively. In addition to mathematical models, reference is made to test data that have been obtained over many years and used to gain insight into ship structural behaviour.Features:• Provides an introduction to local ship strength problems, structural arrangements and the different types of materials used in ship construction• Examines the fundamentals of engineering mechanics with a particular focus on marine structure problems• Covers the basics of ship structural analysis and design using mathematical tools
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Forecasting, Structural Time Series Models and the Kalman Filter
In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.
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Operating Systems In Depth
This book is designed for a one-semester operating-systems course for advanced undergraduates and beginning graduate students. Prerequisites for the course generally include an introductory course on computer architecture and an advanced programming course. The goal of this book is to bring together and explain current practice in operating systems. This includes much of what is traditionally covered in operating-system textbooks: concurrency, scheduling, linking and loading, storage management (both real and virtual), file systems, and security. However, the book also covers issues that come up every day in operating-systems design and implementation but are not often taught in undergraduate courses. For example, the text includes: Deferred work, which includes deferred and asynchronous procedure calls in Windows, tasklets in Linux, and interrupt threads in Solaris.The intricacies of thread switching, on both uniprocessor and multiprocessor systems.Modern file systems, such as ZFS and WAFL.Distributed file systems, including CIFS and NFS version 4. The book and its accompanying significant programming projects make students come to grips with current operating systems and their major operating-system components and to attain an intimate understanding of how they work.
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Data Science in Practice
Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles.Key Features: Success factors and tools for all project phases Includes application examples for various subject areas Introduces many aspects of Data Science, from requirements analysis to data acquisition and visualization
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Digital System Design using FSMs
DIGITAL SYSTEM DESIGN USING FSMS Explore this concise guide perfect for digital designers and students of electronic engineering who work in or study embedded systemsDigital System Design using FSMs: A Practical Learning Approach delivers a thorough update on the author’s earlier work, FSM-Based Digital Design using Verilog HDL. The new book retains the foundational content from the first book while including refreshed content to cover the design of Finite State Machines delivered in a linear programmed learning format. The author describes a different form of State Machines based on Toggle Flip Flops and Data Flip Flops.The book includes many figures of which 15 are Verilog HDL simulations that readers can use to test out the design methods described in the book, as well as 19 Logisim simulation files with figures. Additional circuits are also contained within the Wiley web folder. It has tutorials and exercises, including comprehensive coverage of real-world examples demonstrated alongside the frame-by-frame presentations of the techniques used.In addition to covering the necessary Boolean algebra in sufficient detail for the reader to implement the FSM based systems used in the book, readers will also benefit from the inclusion of:A thorough introduction to finite-state machines and state diagrams for the design of electronic circuits and systemsAn exploration of using state diagrams to control external hardware subsystemsDiscussions of synthesizing hardware from a state diagram, synchronous and asynchronous finite-state machine designs, and testing finite-state machines using a test-bench moduleA treatment of the One Hot Technique in finite-state machine designAn examination of Verilog HDL, including its elementsAn analysis of Petri-Nets including both sequential and parallel system designSuitable for design engineers and senior technicians seeking to enhance their skills in developing digital systems, Digital System Design using FSMs: A Practical Learning Approach will also earn a place in the libraries of undergraduate and graduate electrical and electronic engineering students and researchers.
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Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 2: Deduction Methodologies
Logic is now widely recognized to be one of the foundational disciplines of computing and has found applications in virtually all aspects of the subject, from software engineering and hardware to programming languages and artificial intelligence. There is a growing need for an in-depth survey of the applications of logic in Al and computer science. The Handbook of Logic in Articial Intelligence and Logic Programming and its companion, the Handbook of Logic in Computer Science, have been created in response to this need. We see the creation of the Handbook as a combination of authoritative exposition, comprehensive survey, and fundamental research exploring the underlying themes in the various areas. The intended audience is graduate students and researchers in the areas of A1 and logic, as well as other people interested in the subject. We assume as background some mathematical sophistication. Much of the material will be of interest to logicians and mathematicians. The tables of contents of the volumes were finalized after extensive discussions between handbook authors and second readers. This book is intended for theoretical computer scientists; logicians.Volume Co-ordinator:: S
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Soft Computing in Data Science
This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2017, held in Yogyakarta, Indonesia, November 27-28, 2017.The 26 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on deep learning and real-time classification; image feature classification and extraction; classification, clustering, visualization; applications of machine learning; data visualization; fuzzy logic; prediction models and e-learning; text and sentiment analytics.
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Design of Embedded Robust Control Systems Using MATLAB® / Simulink®
Robust control theory allows for changes in a system whilst maintaining stability and performance. Applications of this technique are very important for dependable embedded systems, making technologies such as drones and other autonomous systems with sophisticated embedded controllers and systems relatively common-place. The aim of this book is to present the theoretical and practical aspects of embedded robust control design and implementation with the aid of MATLAB® and SIMULINK®. It covers methods suitable for practical implementations, combining knowledge from control system design and computer engineering to describe the entire design cycle. Three extended case studies are developed in depth: embedded control of a tank physical model; robust control of a miniature helicopter; and robust control of two-wheeled robots. These are taken from the area of motion control but the book may be also used by designers in other areas. Some knowledge of Linear Control Theory is assumed and knowledge of C programming is desirable but to make the book accessible to engineers new to the field and to students, the authors avoid complicated mathematical proofs and overwhelming computer architecture technical details. All programs used in the examples and case studies are freely downloadable to help with the assimilation of the book contents.
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Semantic Keyword-Based Search on Structured Data Sources
This book constitutes the thoroughly refereed post-conference proceedings of the Third COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2017, held in Gdańsk, Poland, in September 2017.The 13 revised full papers and 5 short papers included in the first part of the book were carefully reviewed and selected from numerous submissions. The second part contains reports that summarize the major activities and achievements that have taken place in the context of the action: the short term scientific missions, the outcome of the summer schools, and the results achieved within the following four work packages: representation of structured data sources; keyword search; user interaction and keyword query interpretation; and research integration, showcases, benchmarks and evaluations. Also included is a short report generated by the chairs of the action. The papers cover a broad range of topics in the area of keyword search combining expertise from many different related fields such as information retrieval, natural language processing, ontology management, indexing, semantic web and linked data.
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Examples in Structural Analysis
This third edition of Examples in Structural Analysis uses a step-by-step approach and provides an extensive collection of fully worked and graded examples for a wide variety of structural analysis problems. It presents detailed information on the methods of solutions to problems and the results obtained. Also given within the text is a summary of each of the principal analysis techniques inherent in the design process and where appropriate, an explanation of the mathematical models used. The text emphasises that software should only be used if designers have appropriate knowledge and understanding of the mathematical assumptions, modelling and limitations inherent in the programs they use. It establishes the use of hand-methods for obtaining approximate solutions during preliminary design and an independent check on the answers obtained from computer analysis.What is New in the Third Edition: A new chapter covers the analysis and design of cables and arches subjected to concentrated loads and uniformly distributed loads. For cables without or with simply supported pinned trusses or steel girder beams through equally spaced hangers, tension forces, support reactions, sags and slopes in cables are determined. For two-pinned or three-pinned arches with parabolic, arched and semi-circular shapes, axial forces, radial shear forces and bending moments at various sections of arches are determined. An existing chapter has been expanded to the construction and use of influence lines for pin-pointed trusses and lattice girders. Also, the chapter Direct Stiffness Methods has been revisited and amended.
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Constructivity in Computer Science
Mathematicians have long recognized the distinction betweenan argument showing that an interesting object exists and aprocedure for actually constructing the object. Computerscience adds a new dimension of interest in constructivity,since a computer program is a formal description of aconstructive procedure that can be executed automatically.It has beenover a decade since a conference was devoted toconstructivity, and never before has one been heldspecifically relating computer science to constructivity.Thus, this proceedings volume is the most concentratedoffering ever produced of the diverse ways in whichconstructivity and computer science are related. The paperscover semantics and type theory, logic and theorem proving,real and complex analysis, topology and combinatorics,nonconstructive graph-theoretical techniques, and curriculumand pedagogic issues.The book offers a concentrated view of the many ways inwhich constructivity has assumed importance in computerscience, and contains results available nowhere else.
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Nonlinear Finite Element Analysis of Solids and Structures
Built upon the two original books by Mike Crisfield and their own lecture notes, renowned scientist René de Borst and his team offer a thoroughly updated yet condensed edition that retains and builds upon the excellent reputation and appeal amongst students and engineers alike for which Crisfield's first edition is acclaimed. Together with numerous additions and updates, the new authors have retained the core content of the original publication, while bringing an improved focus on new developments and ideas. This edition offers the latest insights in non-linear finite element technology, including non-linear solution strategies, computational plasticity, damage mechanics, time-dependent effects, hyperelasticity and large-strain elasto-plasticity. The authors' integrated and consistent style and unrivalled engineering approach assures this book's unique position within the computational mechanics literature. Key features: Combines the two previous volumes into one heavily revised text with obsolete material removed, an improved layout and updated references and notationsExtensive new material on more recent developments in computational mechanicsEasily readable, engineering oriented, with no more details in the main text than necessary to understand the concepts.Pseudo-code throughout makes the link between theory and algorithms, and the actual implementation.Accompanied by a website (www.wiley.com/go/deborst) with a Python code, based on the pseudo-code within the book and suitable for solving small-size problems. Non-linear Finite Element Analysis of Solids and Structures, 2nd Edition is an essential reference for practising engineers and researchers that can also be used as a text for undergraduate and graduate students within computational mechanics.
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Analysis and Computation of Microstructure in Finite Plasticity
This book addresses the need for a fundamental understanding of the physical origin, the mathematical behavior and the numerical treatment of models which include microstructure. Leading scientists present their efforts involving mathematical analysis, numerical analysis, computational mechanics, material modelling and experiment. The mathematical analyses are based on methods from the calculus of variations, while in the numerical implementation global optimization algorithms play a central role. The modeling covers all length scales, from the atomic structure up to macroscopic samples. The development of the models ware guided by experiments on single and polycrystals and results will be checked against experimental data.
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Contrasts and Positions in Information Structure
Information structure, or the way the information in a sentence is 'divided' into categories such as topic, focus, comment, background, and old versus new information, is one of the most widely debated topics in linguistics. This volume incorporates exciting work on the relationship between syntax and information structure. The contributors are united in rejecting accounts that assume designated syntactic positions associated with specific information-structural interpretations, and aim instead to derive information-structural conditions on word order and other phenomena from the way syntax and syntax-external systems interact. Beyond this shared aim, the authors of the various chapters advocate a number of approaches, based on different types of data (syntactic, semantic, phonological/phonetic) from a range of languages. The book is aimed at specialists in syntax and/or information structure, as well as students and linguists in related fields keen to familiarise themselves with current issues in this fascinating area of research.
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Revolutionary Legacy, Power Structure, and Grassroots Capitalism under the Red Flag in China
Why do political elites in authoritarian regimes, even within the same country, engage in different levels of predatory behavior, whereby some foster vibrant capitalism and others suffocate the innovative private sector? This book proposes a theory of localized property-rights protection under authoritarianism. By combining in-depth fieldwork with archival research and quantitative data analysis, Qi Zhang and Mingxing Liu discuss the post-1949 conflicts between dominant and marginalized factions in the Chinese province of Zhejiang. These conflicts resulted in systemic vulnerabilities among the marginalized local cadres, thus motivating them to form alliances with their grassroots constituents. They therefore provided their constituents with quasi-public goods, such as property-rights protection, to increase their odds of political survival. Zhang and Liu argue that this framework can apply both to the Mao era and to the current reform era, and it also can be extended beyond China to a wider context.
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Designing Semantic Knowledge Graphs
Semantic Web technologies such as OWL, RDF/RDFS, SPARQL, SHACL, and SWRL offer powerful tools for managing data in more flexible, meaningful, and scalable ways. As organizations increasingly adopt modern data architectures like Data Mesh, Data Fabric, and Data Lakes, Semantic Knowledge Graphs can serve as a unifying layer--making data easier to integrate, validate, and reason over. Yet many teams hesitate to adopt these technologies, often viewing them as overly complex or academic. This book aims to change that perception by showing how these tools can be used practically and effectively in real-world systems. From constraint validation to domain modeling to query and inference, you'll learn how Semantic Web standards can help you work with messy, evolving, and interconnected data. Designing Semantic Knowledge Graphs is a hands-on guide for software engineers, architects, and data professionals who want to design and build semantic models that align with modern enterprise needs. You'll learn how to bridge domain models with real data, create agile ontologies that evolve with your systems, and automate the transformation of existing data sources into knowledge graph form. Along the way, you'll explore ontology design patterns, leverage validation rules with SHACL, and integrate your knowledge graph with tools like LLMs and SPARQL for powerful query and reasoning capabilities. All techniques are illustrated using free and widely used tools like Protégé and the community edition of AllegroGraph. You Will: Learn how Semantic Web standards like OWL, RDF, SPARQL, SHACL, and SWRL fit into modern data architecture Understand techniques for modeling domains that balance top-down structure with bottom-up data realities Explore common ontology design patterns Learn strategies for data ingestion, transformation, and validation at scale Learn how to create agile models that support change, iteration, and evolving requirements Understand how to integrate knowledge graphs with other components like Large Language Models and APIs Who is it for: Developers, data scientists, software architects, and engineers who work with structured or semi-structured data and want to build smarter, more adaptable systems. This book will also be useful to product managers, analysts, and consultants seeking better insight into their organization's data strategy.
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Genetic Algorithms + Data Structures = Evolution Programs
Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science.The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.
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Structure Determination from Powder Diffraction Data
The art of solving a structure from powder diffraction data has developed rapidly over the last ten years of the 20th century, to the point where numerous crystal structures, both organic and inorganic, have been solved directly from powder data. However, it is still an art and, in contrast to its single crystal equivalent, is far from routine. The art lies not only in the correct application of a specific experimental technique or computer program, but also in the selection of the optimal path for the problem at hand. Written and edited by experts active in the field, and covering both the fundamental and applied aspects of structure solution from powder diffraction data, this book guides both novices and experienced practitioners alike through the maze of possibilities.
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Ordered Algebraic Structures
'Et moi, ...si j'avait su comment en revenir, One service mathematics has rendered the je n'y serais point alit.' human race. It has put common sense back Jules Verne where it belongs. on the topmost shelf next to the dusty canister labelled 'discarded non- The series is divergent; therefore we may be sense'. able to do something with it. Eric T. Bcll o. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and nOD- linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics ...'; 'One service logic has rendered com- puter science ...'; 'One service category theory has rendered mathematics ...'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this series.
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Nature-Inspired Computation in Data Mining and Machine Learning
This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.
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Constructive Computation in Stochastic Models with Applications
"Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable.Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China.
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Statistical Analysis of Graph Structures in Random Variable Networks
This book studies complex systems with elements represented by random variables. Its main goal is to study and compare uncertainty of algorithms of network structure identification with applications to market network analysis. For this, a mathematical model of random variable network is introduced, uncertainty of identification procedure is defined through a risk function, random variables networks with different measures of similarity (dependence) are discussed, and general statistical properties of identification algorithms are studied. The volume also introduces a new class of identification algorithms based on a new measure of similarity and prove its robustness in a large class of distributions, and presents applications to social networks, power transmission grids, telecommunication networks, stock market networks, and brain networks through a theoretical analysis that identifies network structures. Both researchers and graduate students in computer science, mathematics, and optimization will find the applications and techniques presented useful.
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Self-Assembly of Nano- and Micro-structured Materials Using Colloidal Engineering
Self-assembly of Nano- and Micro-structured Materials Using Colloidal Engineering, Volume 12, covers the recent breakthroughs in the design and manufacture of functional colloids at the micro- and nanoscale level. In addition, it provides analyses on how these functionalities can be exploited to develop self-assembly pathways towards nano- and micro-structured materials. As we seek increasingly complex functions for colloidal superstructures, in silico design will play a critical role in guiding experimental fabrication by reducing the element of trial-and-error that would otherwise be involved. In addition to novel experimental approaches, recent developments in computational modelling are also presented, along with an overview of the arsenal of designing tools that are available to the modern materials scientist.
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Lifetime Data: Models in Reliability and Survival Analysis
Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages. This volume contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University. The conference brought together a varied group of researchers and practitioners to advance and promote statistical science in the many fields that deal with lifetime and other time-to-event-data. The volume illustrates the depth and diversity of the field. A few of the authors have published their conference presentations in the new journal Lifetime Data Analysis (Kluwer Academic Publishers).
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Advanced Topics in Finite Element Analysis of Structures
Starting from governing differential equations, a unique and consistently weighted residual approach is used to present advanced topics in finite element analysis of structures, such as mixed and hybrid formulations, material and geometric nonlinearities, and contact problems. This book features a hands-on approach to understanding advanced concepts of the finite element method (FEM) through integrated Mathematica and MATLAB® exercises.
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Computational Medicine in Data Mining and Modeling
This book presents an overview of a variety of contemporary statistical, mathematical and computer science techniques which are used to further the knowledge in the medical domain. The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient’s medical records, image mining, medical mining, data mining and machine learning applied to generic genomic data and more.This work also introduces modeling behavior of cancer cells, multi-scale computational models and simulations of blood flow through vessels by using patient-specific models. The authors cover different imaging techniques used to generate patient-specific models. This is used in computational fluid dynamics software to analyze fluid flow. Case studies are provided at the end of each chapter.Professionals and researchers with quantitative backgrounds will find Computational Medicine in Data Mining and Modeling useful as a reference. Advanced-level students studying computer science, mathematics, statistics and biomedicine will also find this book valuable as a reference or secondary text book.
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Advances in Computing and Data Sciences
This two-volume set (CCIS 905 and CCIS 906) constitutes the refereed proceedings of the Second International Conference on Advances in Computing and Data Sciences, ICACDS 2018, held in Dehradun, India, in April 2018.The 110 full papers were carefully reviewed and selected from 598 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations.
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