Machine Learning and Its Applications: Advanced Lectures Author: Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos Published by Springer Berlin Heidelberg ISBN: 978-3-540-42490-1 DOI: 10.1007/3-540-44673-7 Table of Contents: Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts Learning Patterns in Noisy Data: The AQ Approach Unsupervised Learning of Probabilistic Concept Hierarchies Function Decomposition in Machine Learning How to Upgrade Propositional Learners to First Order Logic: A Case Study Case-Based Reasoning Genetic Algorithms in Machine Learning Pattern Recognition and Neural Networks Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications Integrated Architectures for Machine Learning The Computational Support of Scientic Discovery Support Vector Machines: Theory and Applications Pre- and Post-processing in Machine Learning and Data Mining Machine Learning in Human Language Technology Machine Learning for Intelligent Information Access Machine Learning and Intelligent Agents Machine Learning in User Modeling Data Mining in Economics, Finance, and Marketing Machine Learning in Medical Applications Machine Learning Applications to Power Systems