543 search results - page 61 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...