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» Sampling Methods for Unsupervised Learning
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IJON
2006
95views more  IJON 2006»
14 years 11 months ago
Ensemble classifiers based on correlation analysis for DNA microarray classification
Since accurate classification of DNA microarray is a very important issue for the treatment of cancer, it is more desirable to make a decision by combining the results of various ...
Kyung-Joong Kim, Sung-Bae Cho
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
15 years 4 months ago
Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
Zheng Yun, Kwoh Chee Keong
124
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WWW
2011
ACM
14 years 6 months ago
Semi-supervised truth discovery
Accessing online information from various data sources has become a necessary part of our everyday life. Unfortunately such information is not always trustworthy, as different sou...
Xiaoxin Yin, Wenzhao Tan
KDD
2009
ACM
347views Data Mining» more  KDD 2009»
15 years 11 months ago
Network anomaly detection based on Eigen equation compression
This paper addresses the issue of unsupervised network anomaly detection. In recent years, networks have played more and more critical roles. Since their outages cause serious eco...
Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata,...
201
Voted
ICDE
2008
IEEE
203views Database» more  ICDE 2008»
16 years 13 days ago
Training Linear Discriminant Analysis in Linear Time
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
Deng Cai, Xiaofei He, Jiawei Han