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ICML
2005
IEEE
16 years 7 months ago
Incomplete-data classification using logistic regression
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
David Williams, Xuejun Liao, Ya Xue, Lawrence Cari...
ALT
2006
Springer
16 years 3 months ago
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
Hsuan-Tien Lin, Ling Li
IAT
2009
IEEE
16 years 1 months ago
Automated Web Site Evaluation - An Approach Based on Ranking SVM
This paper proposes an automated web site evaluation approach using machine learning to cope with ranking problems. Evaluating web sites is a significant task for web service beca...
Peng Li, Seiji Yamada
170
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GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
16 years 1 months ago
Apply ant colony optimization to Tetris
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi,...
ISNN
2007
Springer
16 years 27 days ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan