Pattern Recognition and Machine Learning
Christopher M. Bishop
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Bayesian Networks and Decision Graphs
Thomas Dyhre Nielsen
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Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks
Robert G. Cowell
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Nonlinear Dimensionality Reduction
John A. Lee
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The Cross-Entropy Method : A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning
Reuven Y. Rubinstein
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Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks
Robert G. Cowell
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Feedforward Neural Network Methodology
Terrence L. Fine
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Statistical and Inductive Inference by Minimum Message Length
C.S. Wallace
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Statistical and Inductive Inference by Minimum Message Length
C.S. Wallace
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Estimation of Dependences Based on Empirical Data
V. Vapnik
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Information and Complexity in Statistical Modeling
Jorma Rissanen
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Bayesian Networks and Decision Graphs
Thomas Dyhre Nielsen
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Information and Complexity in Statistical Modeling
Jorma Rissanen
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Probabilistic Conditional Independence Structures
Milan Studeny
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Cumulative Sum Charts and Charting for Quality Improvement
Douglas M. Hawkins
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The Practice of Time Series Analysis
Hirotugu Akaike
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Cumulative Sum Charts and Charting for Quality Improvement
Douglas M. Hawkins
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The Practice of Time Series Analysis
Hirotugu Akaike
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Information Theoretic Learning : Renyi's Entropy and Kernel Perspectives
Jose C. Principe
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Statistical Image Processing and Multidimensional Modeling
Paul Fieguth
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