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CEC
2003
IEEE
15 years 10 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage
138
Voted
SBRN
1998
IEEE
15 years 9 months ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...
IWCMC
2010
ACM
15 years 6 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton
ILP
2005
Springer
15 years 10 months ago
Classifying Relational Data with Neural Networks
We introduce a novel method for relational learning with neural networks. The contributions of this paper are threefold. First, we introduce the concept of relational neural networ...
Werner Uwents, Hendrik Blockeel
ICANN
2005
Springer
15 years 10 months ago
Improved, Simpler Neural Controllers for Lamprey Swimming
Swimming for the lamprey (an eel-like fish) is governed by activity in its spinal neural network, called a central pattern generator (CPG). Simpler, alternative controllers can be...
Leena N. Patel, John Hallam, Alan F. Murray