Pattern Recognition and Machine Learning (Information Science and Statistics)
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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
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Numerical Recipes 3rd Edition: The Art of Scientific Computing
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The Elements of Statistical Learning
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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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Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
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Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition)
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Information Theory, Inference & Learning Algorithms
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Data Analysis and Graphics Using R
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Generalized Linear Models, Second Edition (Monographs on Statistics and Applied Probability)
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Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition
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Independent Component Analysis: A Tutorial Introduction (Bradford Books)
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A Wavelet Tour of Signal Processing, Second Edition (Wavelet Analysis & Its Applications)
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Elements of Information Theory
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Monte Carlo Statistical Methods (Springer Texts in Statistics)
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Markov Chain Monte Carlo in Practice: Interdisciplinary Statistics
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
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Unsupervised Adaptive Filtering Volume 2 : Blind Deconvolution
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Principal Component Analysis
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Self-Organizing Maps
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Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
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Statistical Pattern Recognition, 2nd Edition
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A User's Guide to Principal Components (Wiley Series in Probability and Statistics)
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Pattern Recognition, Third Edition
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Nonlinear Time Series: Nonparametric and Parametric Methods (Springer Series in Statistics)
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Kendall's Advanced Theory of Statistics: Volume 2B: Bayesian Inference (Arnold Publication)
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Adaptive Blind Signal and Image Processing
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Statistical Multisource-Multitarget Information Fusion
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Unsupervised Adaptive Filtering, Volume 1: Blind Source Separation
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Blind Speech Separation (Signals and Communication Technology)
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Independent Component Analysis: Principles and Practice
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