Information Science and Statistics – serie

Pattern Recognition and Machine Learning

Cross-Entropy Method

A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning

Statistical and Inductive Inference by Minimum Message Length

Estimation of Dependences Based on Empirical Data

Pattern Recognition and Machine Learning

Information and Complexity in Statistical Modeling

Nonlinear Dimensionality Reduction

Bayesian Networks and Decision Graphs

Probabilistic Networks and Expert Systems

Exact Computational Methods for Bayesian Networks

Support Vector Machines

Sequential Monte Carlo Methods in Practice

Computer Intrusion Detection and Network Monitoring

A Statistical Viewpoint

Cumulative Sum Charts and Charting for Quality Improvement

Feedforward Neural Network Methodology

Probabilistic Networks and Expert Systems

Exact Computational Methods for Bayesian Networks

Nature of Statistical Learning Theory

Information Theoretic Learning

Renyi's Entropy and Kernel Perspectives

Cross-Entropy Method

A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning

Statistical and Inductive Inference by Minimum Message Length

Estimation of Dependences Based on Empirical Data

Information and Complexity in Statistical Modeling

Nonlinear Dimensionality Reduction

Bayesian Networks and Decision Graphs

Sequential Monte Carlo Methods in Practice

Computer Intrusion Detection and Network Monitoring

A Statistical Viewpoint

Nature of Statistical Learning Theory

Statistical Image Processing and Multidimensional Modeling

Computational Methods in Biometric Authentication

Statistical Methods for Performance Evaluation

Cumulative Sum Charts and Charting for Quality Improvement