2010 search results - page 67 / 402 » Feature Subset Selection Using a Genetic Algorithm |
IWANN
2009
Springer
14 years 3 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...
GECCO
2004
Springer
14 years 2 months ago
2004
Springer
A reduced model technique based on a reduced number of numerical simulations at a subset of operating conditions for a perfectly stirred reactor is developed in order to increase t...
EPS
1998
Springer
14 years 1 months ago
1998
Springer
We use the genetic programming (GP) paradigm for two tasks. The first task given a GP is the generation of rules for the target / clutter classification of a set of synthetic apert...
TKDE
2008
13 years 8 months ago
2008
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
MVA
1996
13 years 10 months ago
1996
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...