269 search results - page 3 / 54 » A Minimax Method for Learning Functional Networks |
PRL
2011
13 years 21 days ago
2011
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...
NIPS
1996
13 years 7 months ago
1996
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
AUSAI
2004
Springer
13 years 11 months ago
2004
Springer
In this paper, we propose a dynamic allocation method of basis functions, an Allocation/Elimination Gaussian Softmax Basis Function Network (AE-GSBFN), that is used in reinforcemen...
ISNN
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
ESANN
2001
13 years 7 months ago
2001
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...