Probabilistic Networks and Expert Systems

Support Vector Machines

Estimation of Dependences Based on Empirical Data

Support Vector Machines

Information Theoretic Learning

Statistical Image Processing and Multidimensional Modeling

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

The Practice of Time Series Analysis

Feedforward Neural Network Methodology

Novelty, Information and Surprise

Computational Methods in Biometric Authentication

Cumulative Sum Charts and Charting for Quality Improvement

Sequential Monte Carlo Methods in Practice

Computer Intrusion Detection and Network Monitoring

Probabilistic Networks and Expert Systems

Cumulative Sum Charts and Charting for Quality Improvement

Probabilistic Conditional Independence Structures

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

The Cross-Entropy Method

Statistical and Inductive Inference by Minimum Message Length

Estimation of Dependences Based on Empirical Data

Sequential Monte Carlo Methods in Practice

Computer Intrusion Detection and Network Monitoring

The Nature of Statistical Learning Theory

Information and Complexity in Statistical Modeling

Nonlinear Dimensionality Reduction

Bayesian Networks and Decision Graphs

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning