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Machine Learning and Its Applications 2001
- Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos:
Machine Learning and Its Applications, Advanced Lectures. Lecture Notes in Computer Science 2049, Springer 2001, ISBN 3-540-42490-3
Methods
- Yves Kodratoff:
Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts. 1-21 - Ryszard S. Michalski, Kenneth A. Kaufman:
Learning Patterns in Noisy Data: The AQ Approach. 22-38 - Wayne Iba, Pat Langley:
Unsupervised Learning of Probabilistic Concept Hierarchies. 39-70 - Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar:
Function Decomposition in Machine Learning. 71-101 - Wim Van Laer, Luc De Raedt:
How to Upgrade Propositional Learners to First Order Logic: A Case Study. 102-126 - Ramón López de Mántaras:
Case-Based Reasoning. 127-145 - Jonathan L. Shapiro:
Genetic Algorithms in Machine Learning. 146-168 - Sergios Theodoridis, Konstantinos Koutroumbas:
Pattern Recognition and Neural Networks. 169-195 - Maarten van Someren:
Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications. 196-217 - Lorenza Saitta:
Integrated Architectures for Machine Learning. 218-229
Applications
- Pat Langley:
The Computational Support of Scientific Discovery. 230-248 - Theodoros Evgeniou, Massimiliano Pontil:
Support Vector Machines: Theory and Applications. 249-257 - Ivan Bruha:
Pre- and Post-processing in Machine Learning and Data Mining. 258-266 - Nikos Fakotakis, Kyriakos N. Sgarbas
:
Machine Learning in Human Language Technology. 267-273 - Grigoris I. Karakoulas, Giovanni Semeraro:
Machine Learning for Intelligent Information Access. 274-280 - Themis Panayiotopoulos, Nick Z. Zacharis:
Machine Learning and Intelligent Agents. 281-285 - Christos Papatheodorou:
Machine Learning in User Modeling. 286-294 - Hans C. Jessen, Georgios Paliouras:
Data Mining in Economics, Finance, and Marketing. 295-299 - George D. Magoulas
Machine Learning in Medical Applications. 300-307 - Nikos D. Hatziargyriou:
Machine Learning Applications to Power Systems. 308-317 - Nikolaos Vassilas, Elias Kalapanidas, Nikolaos M. Avouris, Stavros J. Perantonis:
Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications. 318-324
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