222 search results - page 25 / 45 » Learning Optimal Parameters in Decision-Theoretic Rough Sets |
112
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
NIPS
2004
15 years 2 months ago
2004
We propose a new set of criteria for learning algorithms in multi-agent systems, one that is more stringent and (we argue) better justified than previous proposed criteria. Our cr...
157
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ICTAI
2010
IEEE
14 years 10 months ago
2010
IEEE
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
113
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COLT
2008
Springer
15 years 3 months ago
2008
Springer
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
137
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TMI
2010
14 years 8 months ago
2010
As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...