384 search results - page 35 / 77 » Learning Markov Network Structure with Decision Trees |
ICANN
2010
Springer
13 years 10 months ago
2010
Springer
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
ACSAC
1999
IEEE
14 years 1 months ago
1999
IEEE
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In this paper, we propose a systematic solution to the problem of scheduling delay-sensitive media data for transmission over time-varying wireless channels. We first formulate th...
INFOCOM
2012
IEEE
11 years 11 months ago
2012
IEEE
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...