24680 search results - page 332 / 4936 » Learning to |
179
click to vote
JGO
2010
15 years 5 months ago
2010
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
194
click to vote
ECCV
2008
Springer
16 years 8 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 ...
172
click to vote
SDM
2009
SIAM
16 years 4 months ago
2009
SIAM
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
187
click to vote
ICRA
2009
IEEE
16 years 1 months ago
2009
IEEE
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
150
click to vote
PRIMA
2009
Springer
16 years 1 months ago
2009
Springer
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...