Sciweavers

420 search results - page 3 / 84
» Metric-Based Methods for Adaptive Model Selection and Regula...
Sort
View
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
13 years 12 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
13 years 6 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
ECCV
2008
Springer
14 years 7 months ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
JMLR
2010
104views more  JMLR 2010»
13 years 3 days ago
Increasing Feature Selection Accuracy for L1 Regularized Linear Models
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
Abhishek Jaiantilal, Gregory Z. Grudic
IJCV
2008
167views more  IJCV 2008»
13 years 5 months ago
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
Abstract. A novel adaptive and exemplar-based approach is proposed for image restoration (denoising) and representation. The method is based on a pointwise selection of similar ima...
Charles Kervrann, Jérôme Boulanger