Series: Information Science and Statistics

The Nature of Statistical Learning Theory

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

Probabilistic Networks and Expert Systems

Statistical Image Processing and Multidimensional Modeling

Estimation of Dependences Based on Empirical Data

Estimation of Dependences Based on Empirical Data

Statistical Image Processing and Multidimensional Modeling

Bayesian Networks and Influence Diagrams

Support Vector Machines

The Practice of Time Series Analysis

Novelty, Information and Surprise

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning

Novelty, Information and Surprise

Nonlinear Dimensionality Reduction

Nonlinear Dimensionality Reduction