1172 search results - page 2 / 235 » From Data Distributions to Regularization in Invariant Learn... |
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
ICGI
2010
Springer
13 years 11 months ago
2010
Springer
Angluin showed that the class of regular languages could be learned from a Minimally Adequate Teacher (mat) providing membership and equivalence queries. Clark and Eyraud (2007) sh...
ALT
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We develop an abstract model of information acquisition from redundant data. We assume a random sampling process from data which contain information with bias and are interested in...
NIPS
2004
13 years 11 months ago
2004
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...