374 search results - page 43 / 75 » Training the random neural network using quasi-Newton method... |
FGR
2004
IEEE
15 years 3 months ago
2004
IEEE
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
118
click to vote
NECO
2010
14 years 10 months ago
2010
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
116
click to vote
JCNS
1998
14 years 11 months ago
1998
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...