23 search results - page 1 / 5 » Empirical analysis of generalization and learning in XCS wit... |
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
We analyze generalization and learning in XCS with gradient descent. At first, we show that the addition of gradient in XCS may slow down learning because it indirectly decreases...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
Schulenburg [15] first proposed the idea to model different trader types by supplying different input information sets to a group of homogenous LCS agent. Gershoff [12] investigat...
JMLR
2012
11 years 7 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...