3694 search results - page 190 / 739 » Stochastic complexity in learning |
111
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UAI
1997
15 years 5 months ago
1997
It has been shown that a class of probabilistic domain models cannot be learned correctly by several existing algorithms which employ a single-link lookahead search. When a multil...
152
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NIPS
1994
15 years 5 months ago
1994
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
143
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
We address in this paper the problem of segmenting complex handritten pages such as novelist drafts or authorial manuscripts. We propose to use stochastic and contextual models in...
135
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ICANN
2005
Springer
15 years 10 months ago
2005
Springer
In this paper, it will be shown that it is feasible to extract finite state machines in a domain of, for rule extraction, previously unencountered complexity. The algorithm used i...
179
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EURODAC
1995
IEEE
15 years 8 months ago
1995
IEEE
The paper presents an approach for performance and complexity analysis of hardware/software implementations for real-time systems on every stage of the partitioning. There are two...