119 search results - page 16 / 24 » Web-scale classification with naive bayes |
IDEAL
2000
Springer
13 years 10 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
ML
2008
ACM
13 years 6 months ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
TREC
2008
13 years 8 months ago
2008
This paper describes our opinion retrieval system for TREC 2008 blog track. We focused on five different aspects of the system. The first module is focussed on extracting the blog...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...