45 search results - page 1 / 9 » Neural Networks: A Replacement for Gaussian Processes |
IDEAL
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
ICANN
2011
Springer
12 years 8 months ago
2011
Springer
This paper is concerned with estimation of learning curves for Gaussian process regression with multidimensional numerical integration. We propose an approach where the recursion e...
ISNN
2010
Springer
13 years 3 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....
AUSAI
2008
Springer
13 years 6 months ago
2008
Springer
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...