160
click to vote
ESANN
15 years 2 months ago
2004 
This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...
126
Voted
ESANN
15 years 2 months ago
2004 
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
120
click to vote
ESANN
15 years 2 months ago
2004 
We compare the use of two Markovian models, HMMs and IOHMMs, to discriminate between three mental tasks for brain computer interface systems using an asynchronous protocol. We show...
161
Voted
NCI
15 years 2 months ago
2004
Starting from a modular artificial neural system modelling the integration of several perceptive stimuli, this article proposes a new implementation of the central module performi...
131
Voted
ISNN
15 years 6 months ago
2004 Springer 
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
|
Neural Networks