1313 search results - page 88 / 263 » Intelligent Selection of Language Model Training Data |
136
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ICTAI
2007
IEEE
15 years 10 months ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
137
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EMNLP
2006
15 years 5 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
101
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ICASSP
2009
IEEE
15 years 11 months ago
2009
IEEE
Letter units, or graphemes, have been reported in the literature as a surprisingly effective substitute to the more traditional phoneme units, at least in languages that enjoy a s...
143
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AAAI
2010
15 years 5 months ago
2010
Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers...
175
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KDD
2008
ACM
16 years 4 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...