ICNC
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. Through task decomposition and module combination, minmax modular support vector machines (M3 -SVMs) can be successfully used for difficult pattern classification task. ...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
From the last decade, modeling of cognitive agents have drawn great attention and provide a new paradigm for addressing fundamental questions in cognitive science. In this paper, a...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
This paper proposes an improved genetic algorithm for producing aesthetically pleasing drawings of general undirected graphs. Previous undirected graph drawing algorithms draw larg...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
We have developed a calculus, called Ipi, for describing the aberrance in biological models. Our approach extends the traditional pi calculus to handle aberrant process in the sign...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
This paper incorporates robustness into neural network modeling and proposes a novel two-phase robustness analysis approach for determining the optimal feedforward neural network (...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. Parallel genetic algorithms are usually implemented on parallel machines or distributed systems. This paper describes how finegrained parallel genetic algorithms can be ...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
ICNC
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. A mixture multiscale autoregressive moving average (ARMA) network is proposed for unsupervised segmentation of synthetic aperture radar (SAR) image. The network combines ...