Bayesian Networks and Decision Graphs
Thomas Dyhre Nielsen
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Pattern Recognition and Machine Learning
Christopher M. Bishop
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Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks
Robert G. Cowell
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John A. Lee
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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
Uffe B. Kjærulff
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Computational Methods in Biometric Authentication : Statistical Methods for Performance Evaluation
Michael E. Schuckers
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Michael E. Schuckers
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Probabilistic Conditional Independence Structures
Milan Studeny
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Probabilistic Conditional Independence Structures
Milan Studeny
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Milan Studeny
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Computational Methods in Biometric Authentication : Statistical Methods for Performance Evaluation
Michael E. Schuckers
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Information Theoretic Learning : Renyi's Entropy and Kernel Perspectives
Jose C. Principe
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Information Theoretic Learning : Renyi's Entropy and Kernel Perspectives
Jose C. Principe
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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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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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Nonlinear Dimensionality Reduction
John A. Lee
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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
Uffe B. Kjaerulff
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Sequential Monte Carlo Methods in Practice
Arnaud Doucet
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Computer Intrusion Detection and Network Monitoring : A Statistical Viewpoint
David J. Marchette
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The Nature of Statistical Learning Theory
Vladimir Vapnik
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