Machine Learning and Its Applications

Machine Learning and Its Applications: Advanced LecturesAuthor: Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos Published by Springer Berlin Heidelberg ISBN: 978-3-540-42490-1 DOI: 10.1007/3-540-44673-7Table 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