594 search results - page 87 / 119 » Feature Selection for Value Function Approximation Using Bay... |
ECML
2003
Springer
14 years 28 days ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We consider the question of the stability of evolutionary algorithms to gradual changes, or drift, in the target concept. We define an algorithm to be resistant to drift if, for s...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
3DPVT
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper we present a prototype system for image based localization in urban environments. Given a database of views of city street scenes tagged by GPS locations, the system...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...