1106 search results - page 96 / 222 » On regularization algorithms in learning theory |
182
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ATAL
2007
Springer
15 years 9 months ago
2007
Springer
Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
145
Voted
IJON
2006
15 years 5 months ago
2006
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
153
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IJCNN
2000
IEEE
15 years 9 months ago
2000
IEEE
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
129
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NIPS
1994
15 years 6 months ago
1994
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
140
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ATAL
2008
Springer
15 years 7 months ago
2008
Springer
Scoring rules are a broad and concisely-representable class of voting rules which includes, for example, Plurality and Borda. Our main result asserts that the class of scoring rul...