147 search results - page 8 / 30 » Adaptive Prototype Learning Algorithms: Theoretical and Expe... |
AI
2009
Springer
14 years 2 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We study a class of overrelaxed bound optimization algorithms, and their relationship to standard bound optimizers, such as ExpectationMaximization, Iterative Scaling, CCCP and No...
ESANN
2006
13 years 9 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
NIPS
1998
13 years 9 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...