111 search results - page 1 / 23 » Using the Delta Test for Variable Selection |
ESANN
2008
13 years 6 months ago
2008
Input selection is an important consideration in all large-scale modelling problems. We propose that using an established noise variance estimator known as the Delta test as the ta...
IWANN
2009
Springer
13 years 11 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
ESANN
2008
13 years 6 months ago
2008
In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
AIME
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Most test-selection algorithms currently in use with probabilistic networks select variables myopically, that is, test variables are selected sequentially, on a one-by-on...
IJON
2000
13 years 4 months ago
2000
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...