ICANN
2001
Springer
13 years 9 months ago
2001
Springer
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
Natural videos obtained from a camera mounted on a cat’s head are used as stimuli for a network of subspace energy detectors. The network is trained by gradient ascent on an obje...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
We introduce a simple asset pricing model with two types of adaptively learning traders, fundamentalists and technical traders. Traders update their beliefs according to past perfo...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
ICANN
2001
Springer
2001
Springer
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
13 years 9 months ago
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
A network of relaxation oscillators is used to find downbeats in rhythmical patterns. In this study, a novel model is described in detail. Its behavior is tested by exposing it to...