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Pattern Recognition and Machine Learning by Christopher M. Bishop

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  • ISBN-13: 9780387310732
  • Sales Rank: 46,212
  • Pub. Date: January 2006

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms ...  More

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2.

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Introduction to Machine Learning by Ethem Alpaydin

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  • ISBN-13: 9780262012119
  • Sales Rank: 150,106
  • Pub. Date: October 2004

An introductory text in machine learning that gives a unified treatment of methods based on statistics, pattern recognition, neural networks, artificial intelligence, signal ...  More

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3.

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Prediction, Learning, and Games by Nicolo Cesa-Bianchi, Gabor Lugosi

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  • ISBN-13: 9780521841085
  • Sales Rank: 185,441
  • Pub. Date: March 2006

Prediction using expert advice provides a general framework for repeated game playing, adaptive data compression, sequential investments, sequential pattern analysis and ...  More

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4.

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Adaptive Blind Signal and Image Processing : Learning Algorithms and Applications by Andrzej Cichocki, Shun-ichi Amari

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  • ISBN-13: 9780471607915
  • Pub. Date: July 2002

With solid theoretical foundations and numerous potential applications, Blind Signal Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume ...  More

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5.

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Advances in Bayesian Networks by Jost A. G_mez (Editor) , Serafin Moral (Editor) , Antonio Salmer=n (Editor)

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  • ISBN-13: 9783540208761
  • Pub. Date: April 2004

In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as ...  More

  • Online price: $149.00
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6.

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Advances in Large-Margin Classifiers by Peter J. Bartlett (Editor) , Bernhard Scholkopf (Editor) , Dale Schuurmans (Editor) , Bernhard Schölkopf (Editor) , Alex J Smola (Editor)

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  • ISBN-13: 9780262194488
  • Pub. Date: October 2000

The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths ...  More

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7.

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Advances in Machine Learning Applications in Software Engineering by Zhang, Jeffrey J. P. Tsai

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  • ISBN-13: 9781591409410
  • Pub. Date: October 2006

Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge of developing and maintaining larger and ...  More

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    8.

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    Advances in Minimum Description Length : Theory and Applications by Peter D. Grunwald (Editor) , In Jae Myung (Editor) , Mark A. Pitt (Editor)

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    • ISBN-13: 9780262072625
    • Pub. Date: April 2005

    A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to ...  More

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    9.

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    Algorithmic Learning in a Random World by Alexander Gammerman, Glenn Shafer, Vladimir Vovk

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    • ISBN-13: 9780387001524
    • Sales Rank: 562,216
    • Pub. Date: April 2005

    Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of ...  More

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    10.

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    Applications of Learning Classifier Systems by Larry Bull, Larry Bull (Editor)

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    • ISBN-13: 9783540211099
    • Pub. Date: May 2004

    This carefully edited book brings together a fascinating selection of applications of Learning Classifier Systems (LCS). The book demonstrates the utility of this machine ...  More

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