195 search results - page 35 / 39 » Adaptive Algorithms for Neural Network Supervised Learning: ... |
ICANN
2005
Springer
14 years 28 days ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
COLT
1995
Springer
13 years 11 months ago
1995
Springer
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
AEI
1999
13 years 7 months ago
1999
Design synthesis represents a highly complex task in the field of industrial design. The main difficulty in automating it is the definition of the design and performance spaces, i...
EOR
2008
13 years 7 months ago
2008
Group Technology (GT) is a useful way of increasing the productivity for manufacturing high quality products and improving the flexibility of manufacturing systems. Cell formation...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...