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Pattern Recognition and Machine Learning
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Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series)
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)
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Information Theory, Inference, and Learning Algorithms
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Speech and Language Processing
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Multiple View Geometry in Computer Vision
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Computer Vision: Algorithms and Applications
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BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback))
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Principles of Neural Design
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Computer Vision: Models, Learning, and Inference
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Modern Robotics: Mechanics, Planning, and Control
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Dynamic Programming and Optimal Control, Vol. 2
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Fundamentals of Computational Neuroscience
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Dynamic Programming And Optimal Control, Vol. 1
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4.36 avg rating — 33 ratings
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Evolutionary Games and Population Dynamics
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really liked it 4.00 avg rating — 16 ratings
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Game Theory
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Decision Making Under Uncertainty: Theory and Application (MIT Lincoln Laboratory Series)
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4.39 avg rating — 28 ratings
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Handbook of Practical Logic and Automated Reasoning
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3.85 avg rating — 13 ratings
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Algorithms for Reinforcement Learning
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Playing for Real: A Text on Game Theory
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Foundations of Machine Learning
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Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series)
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Fuzzy Set Theory―and Its Applications
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Markov Decision Processes: Discrete Stochastic Dynamic Programming (Wiley Series in Probability and Statistics)
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An Introduction to Description Logic
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A Guide to Convolutional Neural Networks for Computer Vision
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Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
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| 30 |
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Kernel Methods for Pattern Analysis
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