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KDD
2009
ACM
150views Data Mining» more  KDD 2009»
14 years 8 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
IFIP12
2009
13 years 5 months ago
Quality Classifiers for Open Source Software Repositories
Open Source Software (OSS) often relies on large repositories, like SourceForge, for initial incubation. The OSS repositories offer a large variety of meta-data providing interesti...
George Tsatsaronis, Maria Halkidi, Emmanouel A. Gi...
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng
IMECS
2007
13 years 9 months ago
A New Class Based Associative Classification Algorithm
—applying the association rule into classification can improve the accuracy and obtain some valuable rules and information that cannot be captured by other classification approac...
Zhonghua Tang, Qin Liao
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
13 years 11 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian