202 search results - page 2 / 41 » How Local Should a Learning Method Be |
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
An anytime algorithm is capable of returning a response to the given task at essentially any time; typically the quality of the response improves as the time increases. Here, we c...
ESANN
2007
13 years 7 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
NIPS
1996
13 years 7 months ago
1996
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
IFIP
1998
Springer
13 years 10 months ago
1998
Springer
In this paper we discuss the need for learning in multi-agent design systems, and the variety of forms it might take. We propose a particular method of guiding learning in these s...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...