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» A Framework for Grid-based Neural Networks
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NN
2002
Springer
136views Neural Networks» more  NN 2002»
14 years 9 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
NN
2000
Springer
137views Neural Networks» more  NN 2000»
14 years 9 months ago
Evolutionary robots with on-line self-organization and behavioral fitness
We address two issues in Evolutionary Robotics, namely the genetic encoding and the performance criterion, also known as fitness function. For the first aspect, we suggest to enco...
Dario Floreano, Joseba Urzelai
GRID
2004
Springer
15 years 3 months ago
Mobile OGSI.NET: Grid Computing on Mobile Devices
The problem with the Grid is that it does not currently extend completely to devices, because these devices are not viewed as having sufficient capability to be both clients and s...
David C. Chu, Marty A. Humphrey
ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 2 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
IWANN
2001
Springer
15 years 2 months ago
Evolving RBF Neural Networks
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
Víctor Manuel Rivas Santos, Pedro A. Castil...