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  1. 121
    Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications /

    Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications / by Karkera, Kiran R.

    Published 2014
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  2. 122
    Big data war : how to survive global big data competition /

    Big data war : how to survive global big data competition / by Park, Patrick H.

    Published 2016
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  3. 123
    Big data war : how to survive global big data competition /

    Big data war : how to survive global big data competition / by Park, Patrick H.

    Published 2016
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  4. 124
    Reinforcement Learning : An Introduction /

    Reinforcement Learning : An Introduction / by Sutton, Richard S.

    Published 1998
    Subjects: “…Reinforcement learning (Machine learning) blmlsh…”
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  5. 125
    Reinforcement Learning : An Introduction /

    Reinforcement Learning : An Introduction / by Sutton, Richard S.

    Published 1998
    Subjects: “…Reinforcement learning (Machine learning) blmlsh…”
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  6. 126
    The minimum description length principle

    The minimum description length principle by Gr?unwald, Peter D.

    Published 2007
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
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  7. 127
    The minimum description length principle

    The minimum description length principle by Gr?unwald, Peter D.

    Published 2007
    “…Adaptive computation and machine learning.…”
    An electronic book accessible through the World Wide Web; click to view
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  8. 128
    Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers /

    Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers / by Awad, Mariette, Khanna, Rahul

    Published 2015
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  9. 129
    Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers /

    Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers / by Awad, Mariette, Khanna, Rahul

    Published 2015
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  10. 130
    BioData Mining

    BioData Mining

    Open Access
    Electronic Journal
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  11. 131
    BioData Mining

    BioData Mining

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  12. 132
    Algorithms for Molecular Biology

    Algorithms for Molecular Biology

    Open Access
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  13. 133
    Algorithms for Molecular Biology

    Algorithms for Molecular Biology

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  14. 134
    Probability, random processes, and statistical analysis

    Probability, random processes, and statistical analysis by Kobayashi, Hisashi

    Published 2012
    Table of Contents: “…Probabilistic models in machine learning; 22. Filtering and prediction of random processes; 23. …”
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  15. 135
    Probability, random processes, and statistical analysis

    Probability, random processes, and statistical analysis by Kobayashi, Hisashi

    Published 2012
    Table of Contents: “…Probabilistic models in machine learning; 22. Filtering and prediction of random processes; 23. …”
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  16. 136
    Computational Visual Media

    Computational Visual Media

    Open Access
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  17. 137
    Computational Visual Media

    Computational Visual Media

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  18. 138
    Environmental Systems Research

    Environmental Systems Research

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  19. 139
    Environmental Systems Research

    Environmental Systems Research

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  20. 140
    Autonomous bidding agents strategies and lessons from the trading agent competition /

    Autonomous bidding agents strategies and lessons from the trading agent competition / by Wellman, Michael P.

    Published 2007
    Table of Contents: “…Introduction -- The tac travel-shopping game -- Bidding in interdependent markets -- Price prediction -- Bidding with price predictions -- Machine learning and adaptivity -- Market-specific bidding strategies -- Experimental methods and strategic analysis -- Conclusion.…”
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