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» Rough Set Model Selection for Practical Decision Making
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JMLR
2008
131views more  JMLR 2008»
13 years 7 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
13 years 11 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
ICSEA
2007
IEEE
14 years 1 months ago
Test Data Generation from UML State Machine Diagrams using GAs
Automatic test data generation helps testers to validate software against user requirements more easily. Test data can be generated from many sources; for example, experience of t...
Chartchai Doungsa-ard, Keshav P. Dahal, M. Alamgir...
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
12 years 3 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
INFOCOM
2007
IEEE
14 years 1 months ago
Service Charge and Energy-Aware Vertical Handoff in Integrated IEEE 802.16e/802.11 Networks
Abstract— This paper considers two issues arising in an integrated IEEE 802.16e/802.11 network: 1) finding a possible network, which mobile station (MSTA) can switch to, and 2) ...
Youngkyu Choi, Sunghyun Choi