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» Kernel Optimization in Discriminant Analysis
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JMLR
2010
133views more  JMLR 2010»
13 years 2 months ago
Exclusive Lasso for Multi-task Feature Selection
We propose a novel group regularization which we call exclusive lasso. Unlike the group lasso regularizer that assumes covarying variables in groups, the proposed exclusive lasso ...
Yang Zhou, Rong Jin, Steven C. H. Hoi
AAAI
2010
13 years 9 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
ISORC
2003
IEEE
14 years 27 days ago
Embedded Linux Outlook in the PostPC Industry
This paper presents an analysis of the future of Embedded Linux in the PostPC industry. This analysis is carried out by first examining the current forces at work in the PostPC ma...
Seongsoo Hong
PAMI
2007
154views more  PAMI 2007»
13 years 7 months ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
CIKM
2009
Springer
13 years 11 months ago
Empirical justification of the gain and discount function for nDCG
The nDCG measure has proven to be a popular measure of retrieval effectiveness utilizing graded relevance judgments. However, a number of different instantiations of nDCG exist, d...
Evangelos Kanoulas, Javed A. Aslam