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» Popular Ensemble Methods: An Empirical Study
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BMCBI
2006
155views more  BMCBI 2006»
13 years 7 months ago
A powerful method for detecting differentially expressed genes from GeneChip arrays that does not require replicates
Background: Studies of differential expression that use Affymetrix GeneChip arrays are often carried out with a limited number of replicates. Reasons for this include financial co...
Anne-Mette K. Hein, Sylvia Richardson
ECSQARU
2009
Springer
14 years 2 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
IJCNN
2006
IEEE
14 years 1 months ago
Semi-Supervised Model Selection Based on Cross-Validation
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
Matti Kaariainen
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 7 days ago
Intelligent file scoring system for malware detection from the gray list
Currently, the most significant line of defense against malware is anti-virus products which focus on authenticating valid software from a white list, blocking invalid software f...
Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li...
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
13 years 12 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang