4578 search results - page 533 / 916 » Learning from Multi-source Data |
175
click to vote
CVPR
2005
IEEE
16 years 8 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...
161
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
178
click to vote
ICML
2009
IEEE
16 years 7 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...
154
click to vote
ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
Classification of email is an important everyday task for a large and growing number of users. This paper describes the machine learning approaches underlying the i-ems (Intellige...
163
click to vote
GECCO
2005
Springer
15 years 11 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...