4255 search results - page 91 / 851 » On Learning Boolean Functions |
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
This paper addresses the problem of exactly inferring the maximum a posteriori solutions of discrete multi-label MRFs or CRFs with higher order cliques. We present a framework to ...
CORR
2008
Springer
14 years 10 months ago
2008
Springer
: The asynchronous systems are the models of the asynchronous circuits from the digital electrical engineering. An asynchronous system f is a multi-valued function that assigns to ...
ALDT
2009
Springer
15 years 4 months ago
2009
Springer
We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
ESANN
2003
14 years 11 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
FOCS
2007
IEEE
15 years 4 months ago
2007
IEEE
We show that any k-wise independent probability distribution on {0, 1}n O(m2.22− √ k/10)fools any boolean function computable by an m-clause DNF (or CNF) formula on n variable...