5 search results - page 1 / 1 » Multiobjective Optimization in Linguistic Rule Extraction fr... |
EMO
2001
Springer
13 years 9 months ago
2001
Springer
GECCO
2000
Springer
13 years 8 months ago
2000
Springer
This paper shows how linguistic classification knowledge can be extracted from numerical data for pattern classification problems with many continuous attributes by genetic algori...
EUSFLAT
2009
13 years 3 months ago
2009
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Knowing the reputations of your own and/or competitors' products is important for marketing and customer relationship management. It is, however, very costly to collect and a...
ALT
2011
Springer
12 years 5 months ago
2011
Springer
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...