102 search results - page 10 / 21 » Selecting Neural Network Forecasting Models Using the Zoomed... |
PRL
2000
13 years 7 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
ML
2000
ACM
13 years 7 months ago
2000
ACM
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. This paper presents a comparison between direct and recursive prediction strategies. In order to perform the input selection, an approach based on mutual information is u...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...