323 search results - page 11 / 65 » Semi-Naive Bayesian Classifier |
118
Voted
MCS
2000
Springer
15 years 3 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...
75
Voted
ICML
2006
IEEE
16 years 14 days 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...
142
Voted
FLAIRS
2008
15 years 2 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: ...
90
Voted
ICPR
2002
IEEE
16 years 23 days 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...
97
Voted
IJCNLP
2005
Springer
15 years 5 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...