554 search results - page 32 / 111 » Variable selection using neural-network models |
ESANN
2008
14 years 11 months ago
2008
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
77
Voted
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
This paper presents a new connectionist model of the grounding of linguistic quantifiers in perception that takes into consideration the contextual factors affecting the use of vag...
63
Voted
DIS
1999
Springer
15 years 2 months ago
1999
Springer
: This paper shows that a connectionist law discovery method called RF5X can discover a law in the form of a set of nominally conditioned polynomials, from data containing both nom...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
Data from spectrophotometers form vectors of a large number of exploitable variables. Building quantitative models using these variables most often requires using a smaller set of...
ISNN
2005
Springer
15 years 3 months ago
2005
Springer
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...