Search Results - "COMPUTER SCIENCE/Machine Learning & Neural Networks"

  1. 1
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    Learning machine translation / [edited by] Cyril Goutte [and others].

    Published ©2009
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  2. 2
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    Probabilistic models of the brain : perception and neural function / edited by Rajesh P.N. Rao, Bruno A. Olshausen, Michael S. Lewicki.

    Published ©2002
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  3. 3
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    Advanced mean field methods : theory and practice / edited by Manfred Opper and David Saad.

    Published ©2001
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  4. 4
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    Learning kernel classifiers : theory and algorithms / Ralf Herbrich.

    Published ©2002
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  5. 5
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    Neural computing architectures : the design of brain-like machines / edited by Igor Aleksander.

    Published 1989
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  6. 6
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    Gaussian processes for machine learning / Carl Edward Rasmussen, Christopher K.I. Williams.

    Published ©2006
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  7. 7
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    Dataset shift in machine learning / [edited by] Joaquin Quiñonero-Candela [and others].

    Published ©2009
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  8. 8
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    The minimum description length principle / Peter D. Grünwald.

    Published ©2007
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  9. 9
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    Learning with kernels : support vector machines, regularization, optimization, and beyond / Bernhard Schölkopf, Alexander J. Smola.

    Published ©2002
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  10. 10
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    Introduction to statistical relational learning / edited by Lise Getoor, Ben Taskar.

    Published ©2007
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  11. 11
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    Advances in neural information processing systems 19 : proceedings of the 2006 conference / edited by Bernhard Schölkopf, John Platt and Thomas Hofmann.

    Published ©2007
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  12. 12
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    Semi-supervised learning / [edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien.

    Published ©2006
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  13. 13
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    Machine learning in non-stationary environments : introduction to covariate shift adaptation / Masashi Sugiyama and Motoaki Kawanabe.

    Published ©2012
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  14. 14
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    Advances in genetic programming. edited by Kenneth E. Kinnear, Jr. [Vol. 1] /

    Published 1994
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  15. 15
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    Advances in genetic programming. edited by Peter J. Angeline and Kenneth E. Kinnear, Jr. Vol. 2 /

    Published ©1996
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  16. 16
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    Practical applications of sparse modeling / edited by Irina Rish, Guillermo A. Cecchi, Aurelie Lozano, and Alexandru Niculescu-Mizil.

    Published 2014
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  17. 17
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    Predicting structured data / edited by Gökhan Bakır [and others].

    Published ©2007
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  18. 18
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    Decision making under uncertainty : theory and application / Mykel J. Kochenderfer, with contributions from Christopher Amato, Girish Chowdhary, Jonathan P. How, Hayley J. Davison...

    Published 2015
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  19. 19
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    Advances in minimum description length : theory and applications / edited by Peter D. Grünwald, In Jae Myung, Mark A. Pitt.

    Published ©2005
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  20. 20
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    New directions in statistical signal processing : from systems to brain / edited by Simon Haykin [and others].

    Published ©2007
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