142 search results - page 10 / 29 » An Experimental Comparison of Symbolic and Connectionist Lea... |
76
Voted
ICTAI
2009
IEEE
15 years 4 months ago
2009
IEEE
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
88
Voted
JMLR
2010
14 years 4 months ago
2010
In general, imitation is imprecisely used to address different levels of social learning from high level knowledge transfer to low level regeneration of motor commands. However, t...
NPL
2000
14 years 9 months ago
2000
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
69
Voted
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...