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195
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
178
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ECML
2007
Springer
16 years 26 days ago
2007
Springer
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
145
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IDA
2005
Springer
16 years 6 days ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
180
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AAAI
2007
15 years 9 months ago
2007
In semi-supervised learning, a number of labeled examples are usually required for training an initial weakly useful predictor which is in turn used for exploiting the unlabeled e...
177
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STOC
2006
ACM
16 years 7 months ago
2006
ACM
We study rerouting policies in a dynamic round-based variant of a well known game theoretic traffic model due to Wardrop. Previous analyses (mostly in the context of selfish routi...