10054 search results - page 96 / 2011 » On the Complexity of Function Learning |
EUROCOLT
1997
Springer
15 years 4 months ago
1997
Springer
The approach of ordinal mind change complexity, introduced by Freivalds and Smith, uses (notations for) constructive ordinals to bound the number of mind changes made by a learnin...
174
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ICAART
2010
INSTICC
15 years 9 months ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
ICCV
2003
IEEE
16 years 2 months ago
2003
IEEE
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensio...
ESANN
2006
15 years 1 months ago
2006
We focus on neuro-dynamic programming methods to learn state-action value functions and outline some of the inherent problems to be faced, when performing reinforcement learning in...
107
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CRV
2009
IEEE
15 years 7 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...