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149
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IJAR
2010
15 years 2 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
152
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IJKESDP
2010
15 years 2 months ago
2010
Abstract— We previously proposed evolutionary fuzzy systems of playing Ms.PacMan for the competitions. As a consequence of the evolution, reflective action rules such that PacMa...
133
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MICCAI
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
146
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PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
189
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VL
2010
IEEE
15 years 2 months ago
2010
IEEE
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...