496 search results - page 35 / 100 » Semi-Supervised Learning of Mixture Models |
150
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AND
2009
15 years 1 months ago
2009
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
135
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NIPS
1994
15 years 4 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
139
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ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
114
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SIGIR
2005
ACM
15 years 8 months ago
2005
ACM
Informal communication (e-mail, bulletin boards) poses a difficult learning environment because traditional grammatical and lexical information are noisy. Other information is nec...
123
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ICDM
2007
IEEE
15 years 9 months ago
2007
IEEE
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...