2681 search results - page 215 / 537 » Learning to learn with the informative vector machine |
247
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JMLR
2010
15 years 1 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
219
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
189
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ICMCS
2006
IEEE
16 years 25 days ago
2006
IEEE
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
173
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CORR
2002
Springer
15 years 6 months ago
2002
Springer
A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi-dimensional feature ...
173
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CVPR
2001
IEEE
16 years 8 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...