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110
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CONNECTION
2004
92views more  CONNECTION 2004»
15 years 2 months ago
High capacity associative memories and connection constraints
: High capacity associative neural networks can be built from networks of perceptrons, trained using simple perceptron training. Such networks perform much better than those traine...
Neil Davey, Rod Adams
105
Voted
JSAT
2010
130views more  JSAT 2010»
14 years 9 months ago
DepQBF: A Dependency-Aware QBF Solver
We present DepQBF 0.1, a new search-based solver for quantified boolean formulae (QBF). It integrates compact dependency graphs to overcome the restrictions imposed by linear quan...
Florian Lonsing, Armin Biere
113
Voted
SIBGRAPI
1999
IEEE
15 years 6 months ago
A Framework for Attention and Object Categorization Using a Stereo Head Robot
This work describes a framework for dealing with attention and categorization using a robot platform consisting of an articulated stereo-head with four degrees of freedom (pan, til...
Luiz M. G. Gonçalves, Antonio A. F. Oliveir...
NIPS
2008
15 years 4 months ago
Algorithms for Infinitely Many-Armed Bandits
We consider multi-armed bandit problems where the number of arms is larger than the possible number of experiments. We make a stochastic assumption on the mean-reward of a new sel...
Yizao Wang, Jean-Yves Audibert, Rémi Munos
114
Voted
NIPS
2004
15 years 4 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper