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  1. 1
    Ata uhi

    Machine learning and statistical approaches to image retrieval mā Chen, Yixin, 1972-

    I whakaputaina 2004
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  2. 2
    Ata uhi

    Concept data analysis theory and applications / mā Carpineto, Claudio

    I whakaputaina 2004
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    Tāhiko īPukapuka

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  3. 3
    Ata uhi

    Advances in learning theory methods, models, and applications /

    I whakaputaina 2003
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko Mauhanga Hui īPukapuka

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  4. 4
    Ata uhi

    Machine learning applications in software engineering

    I whakaputaina 2005
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  5. 5
    Ata uhi

    Kernel methods for pattern analysis mā Shawe-Taylor, John

    I whakaputaina 2004
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  6. 6
    Ata uhi

    An inductive logic programming approach to statistical relational learning mā Kersting, Kristian

    I whakaputaina 2006
    An electronic book accessible through the World Wide Web; click to view
    Tuhinga whakapae Tāhiko īPukapuka

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  7. 7
    Ata uhi

    Gaussian processes for machine learning mā Rasmussen, Carl Edward

    I whakaputaina 2006
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  8. 8
    Ata uhi

    Nearest-neighbor methods in learning and vision theory and practice /

    I whakaputaina 2005
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  9. 9
    Ata uhi

    Least squares support vector machines

    I whakaputaina 2002
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  10. 10
    Ata uhi

    Ontology learning and population bridging the gap between text and knowledge /

    I whakaputaina 2008
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  11. 11
    Ata uhi

    Approximation methods for efficient learning of Bayesian networks mā Riggelsen, Carsten

    I whakaputaina 2008
    An electronic book accessible through the World Wide Web; click to view
    Tuhinga whakapae Tāhiko īPukapuka

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  12. 12
    Ata uhi

    Bioinformatics the machine learning approach / mā Baldi, Pierre

    I whakaputaina 2001
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  13. 13
    Ata uhi

    Learning with kernels support vector machines, regularization, optimization, and beyond / mā Schölkopf, Bernhard

    I whakaputaina 2002
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  14. 14
    Ata uhi

    Bridging the gap between graph edit distance and kernel machines mā Neuhaus, Michel

    I whakaputaina 2007
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  15. 15
    Ata uhi

    Support vector machine in chemistry

    I whakaputaina 2004
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  16. 16
    Ata uhi

    Dataset shift in machine learning

    I whakaputaina 2009
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  17. 17
    Ata uhi

    Machine learning in bioinformatics mā Zhang, Yan-Qing

    I whakaputaina 2009
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  18. 18
    Ata uhi

    Pattern classification using ensemble methods mā Rokach, Lior

    I whakaputaina 2010
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  19. 19
    Ata uhi

    Machine learning approaches to bioinformatics mā Yang, Zheng Rong

    I whakaputaina 2010
    An electronic book accessible through the World Wide Web; click to view
    Tāhiko īPukapuka

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  20. 20
    Ata uhi

    An elementary introduction to statistical learning theory mā Kulkarni, Sanjeev

    I whakaputaina 2011
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    Tāhiko īPukapuka

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