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ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
13 years 2 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
ARTMED
2004
74views more  ARTMED 2004»
13 years 4 months ago
Latent variable discovery in classification models
The naive Bayes model makes the often unrealistic assumption that the feature variables are mutually independent given the class variable. We interpret a violation of this assumpt...
Nevin Lianwen Zhang, Thomas D. Nielsen, Finn Verne...
IADIS
2003
13 years 6 months ago
A Multiagent Architecture for Information Retrieval in Distributed and Heterogeneous Data Sources
With the consolidation of the Internet and other computer networks, the need of sophisticated systems to retrieve information increased enormously. In these networks, information ...
Rafael T. de Sousa Jr., Alexandre C. V. de Oliveir...
ACL
2004
13 years 6 months ago
The Sentimental Factor: Improving Review Classification Via Human-Provided Information
Sentiment classification is the task of labeling a review document according to the polarity of its prevailing opinion (favorable or unfavorable). In approaching this problem, a m...
Philip Beineke, Trevor Hastie, Shivakumar Vaithyan...