Machine Learning, Volume 54, 2004

Volume 54, Number 1, January 2004

• Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle:
  Benchmarking Least Squares Support Vector Machine Classifiers. 5-32
  
• Francisco J. González-Castaño, Ubaldo M. García-Palomares, Robert R. Meyer:
  Projection Support Vector Machine Generators. 33-44
  
• David M. J. Tax, Robert P. W. Duin:
  Support Vector Data Description. 45-66
  
• Fernando Berzal Galiano, Juan C. Cubero, Daniel Sánchez, José-María Serrano:
  ART: A Hybrid Classification Model. 67-92
  

Volume 54, Number 2, February 2004

• Jinyan Li, Guozhu Dong, Kotagiri Ramamohanarao, Limsoon Wong:
  DeEPs: A New Instance-Based Lazy Discovery and Classification System. 99-124
  
• Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov:
  Selective Sampling for Nearest Neighbor Classifiers. 125-152
  
• Maytal Saar-Tsechansky, Foster J. Provost:
  Active Sampling for Class Probability Estimation and Ranking. 153-178
  

Volume 54, Number 3, March 2004

• Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil:
  Introduction to the Special Issue on Meta-Learning. 187-193
  
• Carlos Soares, Pavel Brazdil, Petr Kuba:
  A Meta-Learning Method to Select the Kernel Width in Support Vector Regression. 195-209
  
• Jürgen Schmidhuber:
  Optimal Ordered Problem Solver. 211-254
  
• Saso Dzeroski, Bernard Zenko:
  Is Combining Classifiers with Stacking Better than Selecting the Best One? 255-273
  
• Alexandros Kalousis, Joao Gama, Melanie Hilario:
  On Data and Algorithms: Understanding Inductive Performance. 275-312
  

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