ISNN
2010
Springer
13 years 9 months ago
2010
Springer
In the context of relating specific brain functions to specific brain structures, second-order blind identification (SOBI) is one of the blind source separation algorithms that hav...
ISNN
2010
Springer
13 years 9 months ago
2010
Springer
Preference elicitation (PE) is an important component of interactive decision support systems that aim to make optimal recommendations to users by actively querying their preferen...
ISNN
2010
Springer
13 years 9 months ago
2010
Springer
An agent's beliefs usually depend on cognitive factors, but also affective factors may play a role. This paper presents an agent model that shows how such affective effects on...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
SBRN
2002
IEEE
13 years 9 months ago
2002
IEEE
This work reports the use of neural networks for pattern recognition in electroencephalographic signals related to intermittent photic-stimulation. Due to the low signal/noise rat...
HICSS
2002
IEEE
13 years 9 months ago
2002
IEEE
Individual differences make it difficult to recognize similarities between individuals in eye movement patterns. However, if consistencies can be found, eye movements could be use...
IDEAL
2003
Springer
13 years 9 months ago
2003
Springer
This paper exhaustively discusses and compares the performance differences between radial basis probabilistic neural networks (RBPNN) and radial basis function neural networks (RBF...
IDA
2003
Springer
13 years 9 months ago
2003
Springer
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...