Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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The Elements of Statistical Learning
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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
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Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing)
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Information Theory, Inference & Learning Algorithms
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
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Pattern Classification (2nd Edition)
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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
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Elements of Information Theory
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Neural Networks for Pattern Recognition
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Machine Learning
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
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Kernel Methods for Pattern Analysis
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Convex Optimization
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Foundations of Statistical Natural Language Processing
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Machine Learning (Mcgraw-Hill International Edit)
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Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition
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An Introduction to Computational Learning Theory
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Statistical Learning Theory
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
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Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms (The Springer International Series in Engineering and Computer Science)
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Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)
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Learning in Graphical Models (Adaptive Computation and Machine Learning)
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Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning)
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Estimation of Dependences Based on Empirical Data: Empirical Inference Science (Information Science and Statistics)
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Hidden Markov Models: Estimation and Control (Stochastic Modelling and Applied Probability)
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Least Squares Support Vector Machines
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Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence)
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