1413 search results - page 75 / 283 » A Theory for Memory-Based Learning |
146
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AI
2007
Springer
15 years 5 months ago
2007
Springer
We present a novel approach to machine learning, called ABML (argumentation based ML). This approach combines machine learning from examples with concepts from the field of argum...
141
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ATAL
2009
Springer
15 years 11 months ago
2009
Springer
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ...
139
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INDIASE
2009
ACM
15 years 11 months ago
2009
ACM
A software architect engages in solving Software Engineering (SE) problems throughout his career. Thus inculcating problem solving skills should be one of the learning objectives ...
135
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SIGECOM
2004
ACM
15 years 10 months ago
2004
ACM
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
124
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COGSCI
2004
15 years 4 months ago
2004
The dominant theory of what people can learn implicitly is that they learn chunks of adjacent elements in sequences. A type of musical grammar that goes beyond specifying allowabl...