554 search results - page 6 / 111 » Variable selection using neural-network models |
ESANN
2000
13 years 11 months ago
2000
In statistical modelling, an investigator must often choose a suitable model among a collection of viable candidates. There is no consensus in the research community on how such a...
NIPS
1994
13 years 11 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
ISNN
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. Aiming at vehicle tracking with a single moving camera for autonomous driving, this paper presents a strategy of online feature selection combined with related process fr...
INFORMATICALT
2007
13 years 9 months ago
2007
In this article we present the general architecture of a hybrid neuro-symbolic system for the selection and stepwise elimination of predictor variables and non-relevant individuals...
IJCAI
1997
13 years 11 months ago
1997
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...