1405 search results - page 28 / 281 » Anytime Algorithm for Feature Selection |
106
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JMLR
2010
14 years 8 months ago
2010
We propose a novel group regularization which we call exclusive lasso. Unlike the group lasso regularizer that assumes covarying variables in groups, the proposed exclusive lasso ...
AIRS
2008
Springer
15 years 3 months ago
2008
Springer
Although regarded as one of the most successful algorithm to identify predictive features, Relief is quite vulnerable to outliers and noisy features. The recently proposed I-Relief...
ICDM
2003
IEEE
15 years 7 months ago
2003
IEEE
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
130
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SGAI
2004
Springer
15 years 7 months ago
2004
Springer
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...