1406 search results - page 141 / 282 » Learning Pseudo-independent Models: Analytical and Experimen... |
190
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
176
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SETN
2010
Springer
16 years 1 months ago
2010
Springer
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically, relying on ten well known machine learning techniqu...
153
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PPL
2008
15 years 6 months ago
2008
This paper investigates the influence of the interconnection network topology of a parallel system on the delivery time of an ensemble of messages, called the communication scheme...
156
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
182
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ICDAR
2009
IEEE
16 years 1 months ago
2009
IEEE
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...