4255 search results - page 101 / 851 » On Learning Boolean Functions |
WFLP
2000
Springer
15 years 1 months ago
2000
Springer
Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...
AAMAS
2007
Springer
14 years 10 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
ICMAS
1998
14 years 11 months ago
1998
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
DELTA
2002
IEEE
15 years 2 months ago
2002
IEEE
The article describes a new Boolean minimization and single-level partitioning method based on the BOOM minimization system [6]. The minimization is performed with respect to the ...