6704 search results - page 274 / 1341 » Testing Scenario-Based Models |
164
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ACL
2008
15 years 8 months ago
2008
We use an EM algorithm to learn user models in a spoken dialog system. Our method requires automatically transcribed (with ASR) dialog corpora, plus a model of transcription error...
165
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ICAD
2004
15 years 8 months ago
2004
The human ability to recognize, identify and compare sounds based on their approximation of particular vowels provides an intuitive, easily learned representation for complex data...
134
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NIPS
2001
15 years 8 months ago
2001
Narayanan and Jurafsky (1998) proposed that human language comprehension can be modeled by treating human comprehenders as Bayesian reasoners, and modeling the comprehension proce...
167
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PAMI
1998
15 years 6 months ago
1998
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...
187
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DICTA
2003
15 years 8 months ago
2003
：Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...