3378 search results - page 44 / 676 » Learning in Friedberg Numberings |
136
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AI
2002
Springer
15 years 10 days ago
2002
Springer
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
89
Voted
COLT
1989
Springer
15 years 4 months ago
1989
Springer
The present paper considers the effects of introducing inaccuracies in a learner’s environment in Gold’s learning model of identification in the limit. Three kinds of inaccu...
98
Voted
LCN
2005
IEEE
15 years 6 months ago
2005
IEEE
The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engi...
104
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COLT
1993
Springer
15 years 4 months ago
1993
Springer
We consider the problem of learning in multilayer feed-forward networks of linear threshold units. We show that the Vapnik-Chervonenkis dimension of the class of functions that ca...
92
Voted
ACMSE
2010
ACM
14 years 10 months ago
2010
ACM
Reinforcement Programming (RP) is a new technique for automatically generating a computer program using reinforcement learning methods. This paper describes how RP learned to gene...