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HIS
2008
13 years 9 months ago
A GRASP Algorithm Using RNN for Solving Dynamics in a P2P Live Video Streaming Network
In this paper, we present an algorithm based on the GRASP metaheuristic for solving a dynamic assignment problem in a P2P network designed for sending real-time video over the Int...
Marcelo Martínez, Alexis Morón, Fran...
NIPS
1997
13 years 9 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
NN
2000
Springer
148views Neural Networks» more  NN 2000»
13 years 7 months ago
Anxiety-like behavior in rats: a computational model
This work describes a neural network model of the rat exploratory behavior in the elevated plus-maze, a test used to study anxiety. It involves three parameters: drive to explore;...
Cristiane Salum, Silvio Morato, Antônio C. R...
NN
2000
Springer
137views Neural Networks» more  NN 2000»
13 years 7 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
ISNN
2007
Springer
14 years 1 months ago
Sparse Coding in Sparse Winner Networks
This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local com...
Janusz A. Starzyk, Yinyin Liu, David D. Vogel