Machine Learning and Its Applications: Advanced Lectures [1 ed.] 9783540424901, 3540424903
In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, a
298 15 14KB
English Pages 324 [334] Year 2001
Table of contents :
Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts....Pages 1-21
Learning Patterns in Noisy Data: The AQ Approach....Pages 22-38
Unsupervised Learning of Probabilistic Concept Hierarchies....Pages 39-70
Function Decomposition in Machine Learning....Pages 71-101
How to Upgrade Propositional Learners to First Order Logic: A Case Study....Pages 102-126
Case-Based Reasoning....Pages 127-145
Genetic Algorithms in Machine Learning....Pages 146-168
Pattern Recognition and Neural Networks....Pages 169-195
Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications....Pages 196-217
Integrated Architectures for Machine Learning....Pages 218-229
The Computational Support of Scientic Discovery....Pages 230-248
Support Vector Machines: Theory and Applications....Pages 249-257
Pre- and Post-processing in Machine Learning and Data Mining....Pages 258-266
Machine Learning in Human Language Technology....Pages 267-273
Machine Learning for Intelligent Information Access....Pages 274-280
Machine Learning and Intelligent Agents....Pages 281-285
Machine Learning in User Modeling....Pages 286-294
Data Mining in Economics, Finance, and Marketing....Pages 295-299
Machine Learning in Medical Applications....Pages 300-307
Machine Learning Applications to Power Systems....Pages 308-317
Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications....Pages 318-324
Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts....Pages 1-21
Learning Patterns in Noisy Data: The AQ Approach....Pages 22-38
Unsupervised Learning of Probabilistic Concept Hierarchies....Pages 39-70
Function Decomposition in Machine Learning....Pages 71-101
How to Upgrade Propositional Learners to First Order Logic: A Case Study....Pages 102-126
Case-Based Reasoning....Pages 127-145
Genetic Algorithms in Machine Learning....Pages 146-168
Pattern Recognition and Neural Networks....Pages 169-195
Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications....Pages 196-217
Integrated Architectures for Machine Learning....Pages 218-229
The Computational Support of Scientic Discovery....Pages 230-248
Support Vector Machines: Theory and Applications....Pages 249-257
Pre- and Post-processing in Machine Learning and Data Mining....Pages 258-266
Machine Learning in Human Language Technology....Pages 267-273
Machine Learning for Intelligent Information Access....Pages 274-280
Machine Learning and Intelligent Agents....Pages 281-285
Machine Learning in User Modeling....Pages 286-294
Data Mining in Economics, Finance, and Marketing....Pages 295-299
Machine Learning in Medical Applications....Pages 300-307
Machine Learning Applications to Power Systems....Pages 308-317
Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications....Pages 318-324
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- Author / Uploaded
- Yves Kodratoff (auth.)
- Georgios Paliouras
- Vangelis Karkaletsis
- Constantine D. Spyropoulos (eds.)
- Similar Topics
- Computers
- Cybernetics: Artificial Intelligence
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