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    Kernel Based Algorithms for Mining Huge Data Sets

Kernel Based Algorithms for Mining Huge Data Sets

Te-Ming Huang
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      This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.
      Format: Paperback / softback CONTRIBUTORS: Te-Ming Huang EAN: 9783642068560 COUNTRY: Germany PAGES: WEIGHT: 724 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2010-11-25 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Maths for engineers, Data mining, Artificial intelligence, Expert systems / knowledge-based systems

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      This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.
      Format: Paperback / softback CONTRIBUTORS: Te-Ming Huang EAN: 9783642068560 COUNTRY: Germany PAGES: WEIGHT: 724 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2010-11-25 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Maths for engineers, Data mining, Artificial intelligence, Expert systems / knowledge-based systems

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      Be the first to write a review
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