544 search results - page 40 / 109 » Active Learning with Model Selection in Linear Regression |
115
Voted
ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
114
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CEAS
2007
Springer
15 years 5 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
127
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
133
Voted
EMNLP
2008
15 years 3 months ago
2008
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
140
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CIKM
2010
Springer
14 years 11 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...