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AAAI
2010
15 years 3 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...
WEBI
2010
Springer
15 years 9 days ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
JMLR
2011
148views more  JMLR 2011»
14 years 9 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
16 years 2 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
EUROSYS
2008
ACM
15 years 11 months ago
Documenting and automating collateral evolutions in linux device drivers
The internal libraries of Linux are evolving rapidly, to address new requirements and improve performance. These evolutions, however, entail a massive problem of collateral evolut...
Yoann Padioleau, Julia L. Lawall, René Rydh...