4930 search results - page 140 / 986 » Learning minimal abstractions |
103
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PREMI
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
120
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ECAI
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
101
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EAAI
2006
15 years 23 days ago
2006
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
115
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JMLR
2010
14 years 7 months ago
2010
The problem of characterizing learnability is the most basic question of statistical learning theory. A fundamental and long-standing answer, at least for the case of supervised c...
101
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TSMC
1998
15 years 12 days ago
1998
Abstract—We present a general scheme for learning sensorimotor tasks which allows rapid on-line learning and generalization of the learned knowledge to unfamiliar objects. The sc...