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ML
2011
ACM
2 years 1 months ago
2011
ACM
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
JUCS
2011
2 years 1 months ago
2011
Abstract: Neural network learning approach for color image restoration has been discussed in this paper and one of the possible solutions for restoring images has been presented. H...
ANNS
2010
2 years 1 months ago
2010
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
AINA
2010
IEEE
2 years 3 months ago
2010
IEEE
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...
ICANN
2010
Springer
2 years 3 months ago
2010
Springer
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
ANOR
2010
2 years 3 months ago
2010
We derive representations of higher order dual measures of risk in Lp spaces as suprema of integrals of Average Values at Risk with respect to probability measures on (0, 1] (Kusu...
ANOR
2010
2 years 3 months ago
2010
The rectangular assignment problem is a generalization of the linear assignment problem (LAP): one wants to assign a number of persons to a smaller number of jobs, minimizing the ...
ANOR
2010
2 years 3 months ago
2010
Abstract. Suppose given a network endowed with a multiflow. We want to estimate some quantities connected with this multiflow, for instance the value of an s
ANOR
2010
2 years 3 months ago
2010
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
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