1413 search results - page 109 / 283 » A Theory for Memory-Based Learning |
172
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FOCS
1990
IEEE
15 years 10 months ago
1990
IEEE
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
190
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GECCO
2006
Springer
15 years 9 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
210
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STOC
2000
ACM
15 years 10 months ago
2000
ACM
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
179
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ATAL
2008
Springer
15 years 8 months ago
2008
Springer
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
162
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KER
2007
15 years 6 months ago
2007
AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...