Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
Author: Andrew Gelman
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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Pattern Classification (2nd Edition)
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Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing)
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The Elements of Statistical Learning
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Convex Optimization
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An Introduction to Information Theory
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The Mathematical Theory of Communication
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Learning Bayesian Networks (Artificial Intelligence)
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Probability Theory: The Logic of Science (Vol 1)
Author: E. T. Jaynes
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Elements of Information Theory
Author: Thomas M. Cover
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
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Introduction to the Theory of Neural Computation (Santa Fe Institute Studies in the Sciences of Complexity)
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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
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Mathematical Foundations of Information Theory
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A First Course in Information Theory (Information Technology: Transmission, Processing and Storage)
Author: Raymond W. Yeung
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Algebra of Probable Inference
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Author: Nello Cristianini
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Information Theory and Statistics (Dover Books on Mathematics)
Author: Solomon Kullback
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Kernel Methods for Pattern Analysis
Author: John Shawe-Taylor
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Iterative Receiver Design
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