A B C D E F G H I J-K L M N O P Q-R S T U V W-Z
View the documentVacillatory learning of nearly minimal size grammers - J. Case, S. Jain and A. Sharma - 1994
View the documentVacillatory learning of nearly-minimal size grammars - John Case, Sanjay Jain and Arun Sharma - 1994
View the documentThe Valiant Learning Model: Extensions and Assessment - J. Amsterdam - January 1988
View the documentValid Generalisation of Functions from Close Approximations on a Sample - M. Anthony and J. Shawe-Taylor - 1994
View the documentThe Vapnik-Chervonenkis Dimension: Information verses Complexity in Learning - Y. S. Abu-Mostafa - 1989
View the documentVapnik-Chervonenkis dimension of recurrent neural networks - Pascal Koiran and Eduardo D. Sontag - 1997
View the documentVC dimension of an integrate-and-fire neuron model - Anthony M. Zador and Barak A. Pearlmutter - 1996
View the documentThe VC dimensions of finite automata with n states - Y. Ishigami and S. Tani - 1993
View the documentThe VC-dimension vs. the statistical capacity for two layer networks with binary weights - C. Ji and D. Psaltis - 1991
View the documentVector Quantization in Speech Coding - J. Makhoul, S. Roucos and H. Gish - November 1985
View the documentA Version Space Approach to Learning Context-free Grammars - Kurt Vanlehn and William Ball - 1987
View the documentVersion Spaces: A Candidate Elimination Approach to Rule Learning - T. M. Mitchell - August 1977
View the documentVery Simple Classification Rules Perform Well on Most Commonly Used Datasets - Robert C. Holte - 1993
View the documentA view of computational learning theory - Leslie Valiant - 1991
View the documentVisualizing high-dimensional structure with the incremental grid-growing neural network - Justine Blackmore and Risto Miikkulainen - 1995
View the documentVolume of Polyhedra - R. Seidel - 1995