1859 search results - page 96 / 372 » Using Problems to Learn Service-Oriented Computing |
144
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AAAI
2000
15 years 6 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
141
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ACL
2012
13 years 7 months ago
2012
We address the problem of learning the mapping between words and their possible pronunciations in terms of sub-word units. Most previous approaches have involved generative modeli...
166
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ICASSP
2008
IEEE
15 years 11 months ago
2008
IEEE
CALL (Computer Assisted Language Learning) systems using ASR (Automatic Speech Recognition) for second language learning have received increasing interest recently. However, it st...
153
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NIPS
2007
15 years 6 months ago
2007
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
148
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NIPS
1993
15 years 6 months ago
1993
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...