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» Clustering Rules Using Empirical Similarity of Support Sets
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ALMOB
2007
133views more  ALMOB 2007»
14 years 9 months ago
Characteristics of predictor sets found using differential prioritization
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
88
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CSCW
2002
ACM
14 years 9 months ago
Empirical development of a heuristic evaluation methodology for shared workspace groupware
Good real time groupware products are hard to develop, in part because evaluating their support for basic teamwork activities is difficult and costly. To address this problem, we ...
Kevin Baker, Saul Greenberg, Carl Gutwin
TNN
2008
97views more  TNN 2008»
14 years 9 months ago
Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
Liefeng Bo, Ling Wang, Licheng Jiao
DIS
2008
Springer
14 years 10 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel
71
Voted
IDA
2003
Springer
15 years 2 months ago
Constructing Hierarchical Rule Systems
Rule systems have failed to attract much interest in large data analysis problems because they tend to be too simplistic to be useful or consist of too many rules for human interpr...
Thomas R. Gabriel, Michael R. Berthold