8970 search results - page 351 / 1794 » Learning to Learn Causal Models |
176
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ACL
2008
15 years 8 months ago
2008
For centuries, the deep connection between languages has brought about major discoveries about human communication. In this paper we investigate how this powerful source of inform...
129
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ACL
2008
15 years 8 months ago
2008
Traditional wisdom holds that once documents are turned into bag-of-words (unigram count) vectors, word orders are completely lost. We introduce an approach that, perhaps surprisi...
181
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SODA
2001
ACM
15 years 8 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
207
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INTERSPEECH
2010
15 years 1 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
159
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CIA
2001
Springer
15 years 11 months ago
2001
Springer
This paper describes a framework to construct interface agents with example dialogs based on the tasks by the machine learning technology. The Wizard of Oz method is used to collec...