181 search results - page 11 / 37 » A statistical model selection strategy applied to neural net... |
ROBIO
2006
IEEE
15 years 5 months ago
2006
IEEE
– This paper presents an ongoing investigation to select optimal subset of features from set of well-known myoelectric signals (MES) features in time and frequency domains. Four ...
119
click to vote
PRL
2000
14 years 11 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...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
76
Voted
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— In the last decade, neural networks have been applied in Daily Load Forecasting. Nevertheless, two main problems are still present for using neural networks in this domain: fi...
TSP
2010
14 years 6 months ago
2010
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...