323 search results - page 8 / 65 » New Algorithms for Learning in Presence of Errors |
IJCAI
2007
13 years 9 months ago
2007
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
AIIA
2001
Springer
13 years 11 months ago
2001
Springer
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
ML
2007
ACM
13 years 7 months ago
2007
ACM
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
COLT
1997
Springer
13 years 11 months ago
1997
Springer
: In this paper we prove sanity-check bounds for the error of the leave-one-out cross-validation estimate of the generalization error: that is, bounds showing that the worst-case e...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...