323 search results - page 11 / 65 » Semi-Naive Bayesian Classifier |
152
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MCS
2000
Springer
15 years 6 months ago
2000
Springer
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
101
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a nov...
169
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FLAIRS
2008
15 years 5 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
114
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ICPR
2002
IEEE
16 years 4 months ago
2002
IEEE
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
126
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IJCNLP
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. This paper proposes a two-step method for Chinese text categorization (TC). In the first step, a Naïve Bayesian classifier is used to fix the fuzzy area between two cate...