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IJCNN
2000
IEEE
14 years 2 months ago
2000
IEEE
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
IJCNN
2000
IEEE
14 years 2 months ago
2000
IEEE
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
ACSAC
2000
IEEE
14 years 2 months ago
2000
IEEE
We present a vision of computing environments in which enterprise networks are built using untrusted public infrastructures. The vision allows for networks to dynamically change d...
ACS
2004
13 years 10 months ago
2004
Threshold agent networks (TANs) constitute a discretized modification of threshold (also known as neural) networks that are appropriate for modeling computer simulations. In this p...
WEBNET
2000
13 years 11 months ago
2000
: This paper looks at factors affecting the success of asynchronous online learning through an investigation of relationships between student perceptions and course design factors ...