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Publication search results
found 14 matches
- 1999
- Jonathan Baxter, Nicolò Cesa-Bianchi:
Guest Editors' Introduction. Mach. Learn. 37(3): 239-240 (1999) - Leonardo Carbonara, Derek H. Sleeman:
Effective and Efficient Knowledge Base Refinement. Mach. Learn. 37(2): 143-181 (1999) - Carlos Domingo, Nina Mishra, Leonard Pitt:
Efficient Read-Restricted Monotone CNF/DNF Dualization by Learning with Membership Queries. Mach. Learn. 37(1): 89-110 (1999) - Yoav Freund, Robert E. Schapire:
Large Margin Classification Using the Perceptron Algorithm. Mach. Learn. 37(3): 277-296 (1999) - Sally A. Goldman, Stephen D. Scott:
A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns. Mach. Learn. 37(1): 5-49 (1999) - Steven Hampson, Dennis F. Kibler:
Minimum Generalization Via Reflection: A Fast Linear Threshold Learner. Mach. Learn. 37(1): 51-73 (1999) - Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, Lawrence K. Saul:
An Introduction to Variational Methods for Graphical Models. Mach. Learn. 37(2): 183-233 (1999) - Roni Khardon:
Learning Function-Free Horn Expressions. Mach. Learn. 37(3): 241-275 (1999) - Philip M. Long:
The Complexity of Learning According to Two Models of a Drifting Environment. Mach. Learn. 37(3): 337-354 (1999) - David A. McAllester:
Some PAC-Bayesian Theorems. Mach. Learn. 37(3): 355-363 (1999) - Lawrence K. Saul, Michael I. Jordan:
Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones. Mach. Learn. 37(1): 75-87 (1999) - Robert E. Schapire, Yoram Singer:
Improved Boosting Algorithms Using Confidence-rated Predictions. Mach. Learn. 37(3): 297-336 (1999) - Michael Schmitt:
On the Sample Complexity for Nonoverlapping Neural Networks. Mach. Learn. 37(2): 131-141 (1999) - Leslie G. Valiant:
Projection Learning. Mach. Learn. 37(2): 115-130 (1999)
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