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Publication search results
found 13 matches
- 2005
- Silvia Acid, Luis M. de Campos, Francisco Javier García Castellano:
Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs. Mach. Learn. 59(3): 213-235 (2005) - Nader H. Bshouty, Lynn Burroughs:
Maximizing Agreements with One-Sided Error with Applications to Heuristic Learning. Mach. Learn. 59(1-2): 99-123 (2005) - Jesús Cerquides, Ramón López de Mántaras:
TAN Classifiers Based on Decomposable Distributions. Mach. Learn. 59(3): 323-354 (2005) - Glenn Fung, Olvi L. Mangasarian:
Multicategory Proximal Support Vector Machine Classifiers. Mach. Learn. 59(1-2): 77-97 (2005) - Thore Graepel, Ralf Herbrich, John Shawe-Taylor:
PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification. Mach. Learn. 59(1-2): 55-76 (2005) - Russell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou:
Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers. Mach. Learn. 59(3): 297-322 (2005) - Shin Ishii, Hajime Fujita, Masaoki Mitsutake, Tatsuya Yamazaki, Jun Matsuda, Yoichiro Matsuno:
A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game. Mach. Learn. 59(1-2): 31-54 (2005) - Niels Landwehr, Mark A. Hall, Eibe Frank:
Logistic Model Trees. Mach. Learn. 59(1-2): 161-205 (2005) - Helge Langseth, Thomas D. Nielsen:
Latent Classification Models. Mach. Learn. 59(3): 237-265 (2005) - Pedro Larrañaga, José Antonio Lozano, José M. Peña, Iñaki Inza:
Editorial. Mach. Learn. 59(3): 211-212 (2005) - Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri:
On Discriminative Bayesian Network Classifiers and Logistic Regression. Mach. Learn. 59(3): 267-296 (2005) - Gilles Stoltz, Gábor Lugosi:
Internal Regret in On-Line Portfolio Selection. Mach. Learn. 59(1-2): 125-159 (2005) - Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone:
Evolving Soccer Keepaway Players Through Task Decomposition. Mach. Learn. 59(1-2): 5-30 (2005)
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