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
291 14 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
![Machine Learning and Its Applications: Advanced Lectures [1 ed.]
9783540424901, 3540424903](https://ebin.pub/img/200x200/machine-learning-and-its-applications-advanced-lectures-1nbsped-9783540424901-3540424903.jpg)
- Author / Uploaded
- Yves Kodratoff (auth.)
- Georgios Paliouras
- Vangelis Karkaletsis
- Constantine D. Spyropoulos (eds.)
- Similar Topics
- Computers
- Cybernetics: Artificial Intelligence
![Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2020 [1st ed.]
9789811533822, 9789811533839](https://ebin.pub/img/200x200/advanced-machine-learning-technologies-and-applications-proceedings-of-amlta-2020-1st-ed-9789811533822-9789811533839.jpg)
![Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 [1 ed.]
3030697169, 9783030697167](https://ebin.pub/img/200x200/advanced-machine-learning-technologies-and-applications-proceedings-of-amlta-2021-1nbsped-3030697169-9783030697167.jpg)
