3114 search results - page 316 / 623 » Distributed Case-Based Learning |
134
Voted
MUC
1991
15 years 6 months ago
1991
ind this work was to extract a relatively abstract level of information from each sentence , using only a limited vocabulary that was hand-crafted to handle a restricted set of tar...
107
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TASE
2008
IEEE
15 years 2 months ago
2008
IEEE
Maintaining an asset with life-limited parts, e.g., a jet engine or an electric generator, may be costly. Certain costs, e.g., setup cost, can be shared if some parts of the asset ...
133
Voted
ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
113
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ICML
1996
IEEE
16 years 3 months ago
1996
IEEE
Within Valiant'smodel of learning as formalized by Kearns, we show that computable total predicates for two formallyuncomputable problems the classical Halting Problem, and t...
137
Voted
ICML
2009
IEEE
15 years 9 months ago
2009
IEEE
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...