1227 search results - page 24 / 246 » Learning Rates for Q-Learning |
PR
2006
14 years 9 months ago
2006
In this paper, we discuss the influence of feature vectors contributions at each learning time t on a sequential-type competitive learning algorithm. We then give a learning rate ...
ESANN
2003
14 years 11 months ago
2003
: In flood management it is important to reliably estimate the discharge in a river. Hydrologists use historic data to establish a rating curve – a relationship between the water...
119
click to vote
CVPR
2012
IEEE
13 years 3 days ago
2012
IEEE
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
JMLR
2010
14 years 4 months ago
2010
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
80
Voted
ICMLA
2009
14 years 7 months ago
2009
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...