1859 search results - page 20 / 372 » Using Problems to Learn Service-Oriented Computing |
132
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HIS
2004
15 years 3 months ago
2004
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
95
Voted
CEC
2007
IEEE
15 years 6 months ago
2007
IEEE
XCS with Computed Action, briefly XCSCA, is a recent extension of XCS to tackle problems involving a large number of discrete actions. In XCSCA the classifier action is computed wi...
123
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
110
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COLT
1997
Springer
15 years 6 months ago
1997
Springer
We relate two problems that have been explored in two distinct communities. The first is the problem of combining expert advice, studied extensively in the computational learning...
150
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SAC
2005
ACM
15 years 8 months ago
2005
ACM
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...