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PKDD
2001
Springer
104views Data Mining» more  PKDD 2001»
14 years 2 months ago
Data Reduction Using Multiple Models Integration
Large amount of available information does not necessarily imply that induction algorithms must use all this information. Samples often provide the same accuracy with less computat...
Aleksandar Lazarevic, Zoran Obradovic
WSC
1998
13 years 11 months ago
An Analytical Comparison of Optimization Problem Generation Methodologies
Heuristics are an increasingly popular solution method for combinatorial optimization problems. Heuristic use often frees the modeler from some of the restrictions placed on class...
Raymond R. Hill
FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
13 years 11 months ago
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
Peng Li, Pei-Li Qiao, Yuan-Chao Liu
CORR
2008
Springer
94views Education» more  CORR 2008»
13 years 10 months ago
Joint Beamforming for Multiaccess MIMO Systems with Finite Rate Feedback
Abstract--We consider multiaccess multiple-input multipleoutput (MIMO) systems with finite rate feedback with the aim of understanding how to efficiently employ the given feedback ...
Wei Dai, Brian Rider, Youjian Liu
AI
2004
Springer
13 years 10 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu