2467 search results - page 230 / 494 » Finite State Machines |
172
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
191
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ALT
1994
Springer
15 years 10 months ago
1994
Springer
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
191
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
We consider the problem of ordinal classification, in which a value set of the decision attribute (output, dependent variable) is finite and ordered. This problem shares some chara...
169
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ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
170
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COLT
1995
Springer
15 years 10 months ago
1995
Springer
In this paper, we study PAC-leaming algorithms for specialized classes of deterministic finite automata (DFA). Inpartictdar, we study branchingprogrsms, and we investigate the int...