460 search results - page 9 / 92 » Neural Network Algorithms for the p-Median Problem |
88
Voted
TSD
2010
Springer
14 years 9 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
GECCO
2009
Springer
15 years 3 months ago
2009
Springer
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
TNN
2008
14 years 11 months ago
2008
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
AAAI
1996
15 years 11 days ago
1996
Constructive learning algorithms offer an attractive approach for the incremental construction of near-minimal neural-network architectures for pattern classification. They help ov...
77
Voted
GECCO
2005
Springer
15 years 4 months ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...