Sciweavers

IJCNN
2000
IEEE
13 years 8 months ago
Support Vector Machine for Regression and Applications to Financial Forecasting
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
Theodore B. Trafalis, Huseyin Ince
IJCNN
2000
IEEE
13 years 8 months ago
Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm
It is often reported in the technique literature that the success of the self-organizing feature map (SOM) formation is critically dependent on the initial weights and the selectio...
Mu-Chun Su, Chien-Hsing Chou, Hsiao-Te Chang
IJCNN
2000
IEEE
13 years 8 months ago
Support Vector Machines Based on a Semantic Kernel for Text Categorization
We propose to solve a text categorization task using a new metric between documents, based on a priori semantic knowledge about words. This metric can be incorporated into the def...
George Siolas, Florence d'Alché-Buc
IJCNN
2000
IEEE
13 years 8 months ago
A Three-Dimensional Physiologically Realistic Model of the Retina
: The main purpose of this work is to create a physiologically realistic computational model of the retina by providing a flexible, real-valued three-dimensional architecture. This...
Michael Tadross, Cameron Whitehouse, Melissa Horns...
IJCNN
2000
IEEE
13 years 8 months ago
Improving the Generalization Capability of the Binary CMAC
Tamás Szabó, Gábor Horv&aacut...
IJCNN
2000
IEEE
13 years 8 months ago
Knowledge-Based Cascade-Correlation
KBCC is an extension of the cascade-correlation algorithm that treats functions encapsulating prior knowledge as black-boxes which, like simple sigmoidal neurons, can be recruited...
Thomas R. Shultz, François Rivest
IJCNN
2000
IEEE
13 years 8 months ago
A Full-Parallel Digital Implementation for Pre-Trained NNs
Tamás Szabó, Lörinc Antoni, G&a...
IJCNN
2000
IEEE
13 years 8 months ago
Incremental Active Learning with Bias Reduction
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...
Masashi Sugiyama, Hidemitsu Ogawa
IJCNN
2000
IEEE
13 years 8 months ago
Simulation of a Digital Neuro-Chip for Spiking Neural Networks
: Conventional hardware platforms are far from reaching real-time simulation requirements of complex spiking neural networks (SNN). Therefore we designed an accelerator board with ...
Tim Schönauer, S. Atasoy, N. Mehrtash, Heinri...