10054 search results - page 116 / 2011 » On the Complexity of Function Learning |
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ICCBR
2005
Springer
15 years 6 months ago
2005
Springer
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
109
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ESANN
2001
15 years 1 months ago
2001
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
ALT
2005
Springer
15 years 9 months ago
2005
Springer
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true ...
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
93
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LICS
2008
IEEE
15 years 7 months ago
2008
IEEE
We show that reachability and termination for lossy channel systems is exactly at level Fωω in the Fast-Growing Hierarchy of recursive functions, the first level that dominates...