Conferences in DBLP

Advanced Courses (ac)
2001 (conf/ac/2001)

1. Yves Kodratoff
   Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts. [Citation Graph (0, 0)][DBLP]
   Machine Learning and Its Applications, 2001, pp:1-21 [Conf]
   
2. Ryszard S. Michalski, Kenneth A. Kaufman
   Learning Patterns in Noisy Data: The AQ Approach. [Citation Graph (0, 0)][DBLP]
   Machine Learning and Its Applications, 2001, pp:22-38 [Conf]
   
3. Wayne Iba, Pat Langley
   Unsupervised Learning of Probabilistic Concept Hierarchies. [Citation Graph (0, 0)][DBLP]
   Machine Learning and Its Applications, 2001, pp:39-70 [Conf]
   
4. Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar
   Function Decomposition in Machine Learning. [Citation Graph (0, 0)][DBLP]
   Machine Learning and Its Applications, 2001, pp:71-101 [Conf]
   
5. Wim Van Laer, Luc De Raedt
   How to Upgrade Propositional Learners to First Order Logic: A Case Study. [Citation Graph (0, 0)][DBLP]
   Machine Learning and Its Applications, 2001, pp:102-126 [Conf]
   
6. Ramon López de Mántaras
   Case-Based Reasoning. [Citation Graph (0, 0)][DBLP]
   Machine Learning and Its Applications, 2001, pp:127-145 [Conf]
   
7. Jonathan L. Shapiro
   Genetic Algorithms in Machine Learning. [Citation Graph (0, 0)][DBLP]
   Machine Learning and Its Applications, 2001, pp:146-168 [Conf]
   
8. Sergios Theodoridis, Konstantinos Koutroumbas
   Pattern Recognition and Neural Networks. [Citation Graph (0, 0)][DBLP]
   Machine Learning and Its Applications, 2001, pp:169-195 [Conf]
   
9. Maarten van Someren
   Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications. [Citation Graph (0, 0)][DBLP]
   Machine Learning and Its Applications, 2001, pp:196-217 [Conf]
   
10. Lorenza Saitta
    Integrated Architectures for Machine Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:218-229 [Conf]
    
11. Pat Langley
    The Computational Support of Scientific Discovery. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:230-248 [Conf]
    
12. Theodoros Evgeniou, Massimiliano Pontil
    Support Vector Machines: Theory and Applications. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:249-257 [Conf]
    
13. Ivan Bruha
    Pre- and Post-processing in Machine Learning and Data Mining. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:258-266 [Conf]
    
14. Nikos Fakotakis, Kyriakos N. Sgarbas
    Machine Learning in Human Language Technology. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:267-273 [Conf]
    
15. Grigoris J. Karakoulas, Giovanni Semeraro
    Machine Learning for Intelligent Information Access. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:274-280 [Conf]
    
16. Themis Panayiotopoulos, Nick Z. Zacharis
    Machine Learning and Intelligent Agents. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:281-285 [Conf]
    
17. Christos Papatheodorou
    Machine Learning in User Modeling. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:286-294 [Conf]
    
18. Hans C. Jessen, Georgios Paliouras
    Data Mining in Economics, Finance, and Marketing. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:295-299 [Conf]
    
19. George D. Magoulas, Andriana Prentza
    Machine Learning in Medical Applications. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:300-307 [Conf]
    
20. Nikos D. Hatziargyriou
    Machine Learning Applications to Power Systems. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:308-317 [Conf]
    
21. Nikolaos Vassilas, Elias Kalapanidas, Nikolaos M. Avouris, Stavros J. Perantonis
    Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:318-324 [Conf]