1106 search results - page 51 / 222 » On regularization algorithms in learning theory |
168
click to vote
SDM
2008
SIAM
15 years 6 months ago
2008
SIAM
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
153
click to vote
NIPS
2001
15 years 6 months ago
2001
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
151
click to vote
JMLR
2010
14 years 11 months ago
2010
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
156
click to vote
CVPR
2011
IEEE
15 years 24 days ago
2011
IEEE
We develop a dictionary learning method which is (i) online, (ii) enables overlapping group structures with (iii) non-convex sparsity-inducing regularization and (iv) handles the ...
213
click to vote
CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...