Machine Learning and Its Applications 2001

@proceedings{DBLP:conf/ac/2001,
  editor    = {Georgios Paliouras and
               Vangelis Karkaletsis and
               Constantine D. Spyropoulos},
  title     = {Machine Learning and Its Applications, Advanced Lectures},
  booktitle = {Machine Learning and Its Applications},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2049},
  year      = {2001},
  isbn      = {3-540-42490-3},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Methods

• Yves Kodratoff:
  Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts. 1-21
  Electronic Edition (Springer LINK) BibTeX
• Ryszard S. Michalski, Kenneth A. Kaufman:
  Learning Patterns in Noisy Data: The AQ Approach. 22-38
  Electronic Edition (Springer LINK) BibTeX
• Wayne Iba, Pat Langley:
  Unsupervised Learning of Probabilistic Concept Hierarchies. 39-70
  Electronic Edition (Springer LINK) BibTeX
• Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar:
  Function Decomposition in Machine Learning. 71-101
  Electronic Edition (Springer LINK) BibTeX
• Wim Van Laer, Luc De Raedt:
  How to Upgrade Propositional Learners to First Order Logic: A Case Study. 102-126
  Electronic Edition (Springer LINK) BibTeX
• Ramon López de Mántaras:
  Case-Based Reasoning. 127-145
  Electronic Edition (Springer LINK) BibTeX
• Jonathan L. Shapiro:
  Genetic Algorithms in Machine Learning. 146-168
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• Sergios Theodoridis, Konstantinos Koutroumbas:
  Pattern Recognition and Neural Networks. 169-195
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• Maarten van Someren:
  Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications. 196-217
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• Lorenza Saitta:
  Integrated Architectures for Machine Learning. 218-229
  Electronic Edition (Springer LINK) BibTeX

Applications

• Pat Langley:
  The Computational Support of Scientific Discovery. 230-248
  Electronic Edition (Springer LINK) BibTeX
• Theodoros Evgeniou, Massimiliano Pontil:
  Support Vector Machines: Theory and Applications. 249-257
  Electronic Edition (Springer LINK) BibTeX
• Ivan Bruha:
  Pre- and Post-processing in Machine Learning and Data Mining. 258-266
  Electronic Edition (Springer LINK) BibTeX
• Nikos Fakotakis, Kyriakos N. Sgarbas:
  Machine Learning in Human Language Technology. 267-273
  Electronic Edition (Springer LINK) BibTeX
• Grigoris J. Karakoulas, Giovanni Semeraro:
  Machine Learning for Intelligent Information Access. 274-280
  Electronic Edition (Springer LINK) BibTeX
• Themis Panayiotopoulos, Nick Z. Zacharis:
  Machine Learning and Intelligent Agents. 281-285
  Electronic Edition (Springer LINK) BibTeX
• Christos Papatheodorou:
  Machine Learning in User Modeling. 286-294
  Electronic Edition (Springer LINK) BibTeX
• Hans C. Jessen, Georgios Paliouras:
  Data Mining in Economics, Finance, and Marketing. 295-299
  Electronic Edition (Springer LINK) BibTeX
• George D. Magoulas, Andriana Prentza:
  Machine Learning in Medical Applications. 300-307
  Electronic Edition (Springer LINK) BibTeX
• Nikos D. Hatziargyriou:
  Machine Learning Applications to Power Systems. 308-317
  Electronic Edition (Springer LINK) BibTeX
• Nikolaos Vassilas, Elias Kalapanidas, Nikolaos M. Avouris, Stavros J. Perantonis:
  Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications. 318-324
  Electronic Edition (Springer LINK) BibTeX