Machine Learning A Practical Approach on the Statistical Learning Theory

Computing with Data An Introduction to the Data Industry

Between Certainty and Uncertainty Statistics and Probability in Five Units with Notes on Historical Origins and Illustrative Numerical Examples

The Naïve Bayes Model for Unsupervised Word Sense Disambiguation Aspects Concerning Feature Selection

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

An Introduction to Statistical Learning with Applications in R

Advances in Data Analysis, Data Handling and Business Intelligence Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008

Classification as a Tool for Research Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., Dresden, March 13-18, 2009

The Elements of Statistical Learning Data Mining, Inference, and Prediction

Information Theory and Statistical Learning

Soft Methods for Handling Variability and Imprecision

Interval / Probabilistic Uncertainty and Non-Classical Logics