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ICCAD
2010
IEEE
156views Hardware» more  ICCAD 2010»
13 years 2 months ago
Boolean matching of function vectors with strengthened learning
Boolean matching for multiple-output functions determines whether two given (in)completely-specified function vectors can be identical to each other under permutation and/or negat...
Chih-Fan Lai, Jie-Hong R. Jiang, Kuo-Hua Wang
ALT
2001
Springer
14 years 1 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
COLT
2003
Springer
13 years 10 months ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
CORR
2006
Springer
108views Education» more  CORR 2006»
13 years 4 months ago
Static Analysis using Parameterised Boolean Equation Systems
The well-known problem of state space explosion in model checking is even more critical when applying this technique to programming languages, mainly due to the presence of complex...
María-del-Mar Gallardo, Christophe Joubert,...
ML
2002
ACM
146views Machine Learning» more  ML 2002»
13 years 4 months ago
Kernel Matching Pursuit
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
Pascal Vincent, Yoshua Bengio