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ORCIDMachine 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, João Gama, Melanie Hilario:
On Data and Algorithms: Understanding Inductive Performance. 275-312
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