543 search results - page 45 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
NIPS
2008
13 years 9 months ago
2008
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...
SDM
2003
SIAM
13 years 9 months ago
2003
SIAM
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
We present a framework for audio background modeling of complex and unstructured audio environments. The determination of background audio is important for understanding and predi...
NIPS
2004
13 years 9 months ago
2004
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...