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Pattern recognition and machine learning

Pattern recognition and machine learning

Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks

Nonlinear dimensionality reduction

Novelty, information and surprise

Novelty, information and surprise

The Nature of Statistical Learning Theory

Statistical Image Processing and Multidimensional Modeling

Bayesian networks and influence diagrams : a guide to construction and analysis

Support vector machines

Estimation of Dependences Based on Empirical Data

Support Vector Machines

Nonlinear dimensionality reduction

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

The Practice of Time Series Analysis

Estimation of Dependences Based on Empirical Data

Statistical Image Processing and Multidimensional Modeling

Sequential Monte Carlo Methods in Practice

The Nature of Statistical Learning Theory

Bayesian Networks and Decision Graphs

Probabilistic Networks and Expert Systems : Exact Computational Methods for Bayesian Networks

Statistical and inductive inference by minimum message length

The Nature of Statistical Learning Theory

The cross-entropy method: a unified approach to combinatorial optimization, Monte-Carlo simulation and machine learning

Information Theoretic Learning : Renyi's Entropy and Kernel Perspectives

Information and complexity in statistical modeling

Bayesian networks and influence diagrams : a guide to construction and analysis

Information theoretic learning: Renyi's entropy and kernel perspectives

Bayesian networks and influence diagrams: a guide to construction and analysis : 22

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

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