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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

Estimation of Dependences Based on Empirical Data

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

Support Vector Machines

Nonlinear dimensionality reduction

Statistical Image Processing and Multidimensional Modeling

The Practice of Time Series Analysis

Estimation of Dependences Based on Empirical Data

The Nature of Statistical Learning Theory

Statistical Image Processing and Multidimensional Modeling

Support vector machines

Novelty, information and surprise

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

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

Probabilistic Networks and Expert Systems

Statistical and inductive inference by minimum message length

Support vector machines

Probabilistic conditional independence structures

Computational methods in biometric authentication: statistical methods for performance evaluation

Estimation of dependences based on empirical data: Empirical inference science : afterword of 2006

Pattern Recognition and Machine Learning

Practice of Time Series Analysis

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