147 search results - page 13 / 30 » Adaptive Prototype Learning Algorithms: Theoretical and Expe... |
ICML
2007
IEEE
14 years 8 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...
AMS
2007
Springer
14 years 1 months ago
2007
Springer
Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...
IJON
1998
13 years 7 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper aims to forecast the economic impacts of changing land-use in UK uplands. We assume that farmers adaptively learn and respond to a dynamic economic environment. The main...
ICONIP
2007
13 years 9 months ago
2007
Policy learning which allows autonomous robots to adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. However, ...