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Computational Intelligence in Time Series Forecasting Theory and Engineering Applications

Computing with Data An Introduction to the Data Industry

Machine Learning A Practical Approach on the Statistical Learning Theory

An Introduction to Statistical Learning with Applications in R

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

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

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Information Theory and Statistical Learning

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

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Bayesian Networks and Influence Diagrams A Guide to Construction and Analysis

Interval / Probabilistic Uncertainty and Non-Classical Logics

Soft Methods for Handling Variability and Imprecision

Bayesian Networks and Decision Graphs February 8, 2007

Case-Based Approximate Reasoning

Data Mining A Knowledge Discovery Approach

Web Data Mining Exploring Hyperlinks, Contents, and Usage Data

FastSLAM A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics

Mathematics of Uncertainty Ideas, Methods, Application Problems

All of Nonparametric Statistics

Estimation of Dependences Based on Empirical Data Empirical Inference Science Afterword of 2006

Fundamentals of Statistics with Fuzzy Data

Statistical and Inductive Inference by Minimum Message Length

On Probabilistic Conditional Independence Structures