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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
STOC
2004
ACM
177views Algorithms» more  STOC 2004»
14 years 8 months ago
Lower bounds for linear degeneracy testing
Abstract. In the late nineties, Erickson proved a remarkable lower bound on the decision tree complexity of one of the central problems of computational geometry: given n numbers, ...
Nir Ailon, Bernard Chazelle
JCP
2008
174views more  JCP 2008»
13 years 7 months ago
Design and Implementation of Spatial Data Mining System (M-SDM) based on MATLAB
Taking the design of data analyzing software for imaging brain function -- SPM (Statistical Parameters Mapping) for reference, this study combined MATLAB, GIS and SDM organically, ...
Lu Zhao, Xinqi Zheng, Shuqing Wang
BMCBI
2008
71views more  BMCBI 2008»
13 years 7 months ago
Examining the significance of fingerprint-based classifiers
Background: Experimental examinations of biofluids to measure concentrations of proteins or their fragments or metabolites are being explored as a means of early disease detection...
Brian T. Luke, Jack R. Collins
CEC
2010
IEEE
13 years 8 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne