57 search results - page 4 / 12 » Algorithms for Better Representation and Faster Learning in ... |
GECCO
2011
Springer
12 years 10 months ago
2011
Springer
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
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...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...
ICANN
2001
Springer
13 years 12 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
IWANN
2001
Springer
13 years 11 months ago
2001
Springer
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...