210 search results - page 30 / 42 » Continuous Neural Decoding Method Based on General Regressio... |
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
We describe a kernel method which uses the maximization of Onicescu’s informational energy as a criteria for computing the relevances of input features. This adaptive relevance d...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
NIPS
1998
13 years 10 months ago
1998
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
MICAI
2000
Springer
14 years 7 days ago
2000
Springer
Artificial Neural Networks (ANN) are an emerging technology, yet, in continuous dynamic behavior, much work has been done to attempt to generate a formal method to design a contro...
WSC
2007
13 years 11 months ago
2007
Simulation optimization (SO) is the process of finding the optimum design of a system whose performance measure(s) are estimated via simulation. We propose some ideas to improve o...