889 search results - page 87 / 178 » Probabilistic Neural Network Models for Sequential Data |
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
ICANN
2009
Springer
14 years 21 days ago
2009
Springer
The sequential structure of complex actions is apparently at an abstract “cognitive” level in several regions of the frontal cortex, independent of the control of the immediate...
IWANN
2007
Springer
14 years 2 months ago
2007
Springer
In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— Forecast, detection and warning of severe weather and related hydro-geological risks is becoming one of the major issues for civil protection. The use of computational intellig...
BMCBI
2007
13 years 8 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...