1106 search results - page 76 / 222 » On regularization algorithms in learning theory |
175
click to vote
ECML
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
157
click to vote
PAMI
1998
15 years 4 months ago
1998
—This paper concerns an efficient algorithm for learning in the limit a special type of regular languages called strictly locally testable languages from positive data, and its a...
154
click to vote
KDD
1995
ACM
15 years 8 months ago
1995
ACM
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
133
click to vote
ATAL
2006
Springer
15 years 8 months ago
2006
Springer
We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...
190
click to vote
JMLR
2012
13 years 7 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...