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ORCIDMachine Learning, Volume 59, 2005
Volume 59, Number 1-2, May 2005
- Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone:
Evolving Soccer Keepaway Players Through Task Decomposition. 5-30 - Shin Ishii
, Hajime Fujita, Masaoki Mitsutake, Tatsuya Yamazaki, Jun Matsuda, Yoichiro Matsuno:
A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game. 31-54 - Thore Graepel, Ralf Herbrich, John Shawe-Taylor:
PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification. 55-76 - Glenn Fung, Olvi L. Mangasarian:
Multicategory Proximal Support Vector Machine Classifiers. 77-97 - Nader H. Bshouty, Lynn Burroughs:
Maximizing Agreements with One-Sided Error with Applications to Heuristic Learning. 99-123 - Gilles Stoltz, Gábor Lugosi:
Internal Regret in On-Line Portfolio Selection. 125-159 - Niels Landwehr, Mark Hall, Eibe Frank:
Logistic Model Trees. 161-205
Volume 59, Number 3, June 2005
- Pedro Larrañaga, José Antonio Lozano, José M. Peña, Iñaki Inza:
Editorial. 211-212 - Silvia Acid, Luis M. de Campos, Francisco Javier García Castellano:
Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs. 213-235 - Helge Langseth, Thomas D. Nielsen:
Latent Classification Models. 237-265 - Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri:
On Discriminative Bayesian Network Classifiers and Logistic Regression. 267-296 - Russell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou:
Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers. 297-322 - Jesús Cerquides, Ramón López de Mántaras:
TAN Classifiers Based on Decomposable Distributions. 323-354
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