460 search results - page 79 / 92 » Neural Network Algorithms for the p-Median Problem |
108
click to vote
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
107
click to vote
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
112
Voted
APIN
2002
15 years 17 days ago
2002
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
74
Voted
ICONIP
2008
15 years 2 months ago
2008
Practical Recurrent Learning (PRL) has been proposed as a simple learning algorithm for recurrent neural networks[1][2]. This algorithm enables learning with practical order O(n2 )...
117
click to vote
ICANNGA
2009
Springer
15 years 7 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...