210 search results - page 2 / 42 » Continuous Neural Decoding Method Based on General Regressio... |
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
IJCNN
2008
IEEE
13 years 10 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
BMCBI
2008
13 years 4 months ago
2008
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
AI
2002
Springer
13 years 4 months ago
2002
Springer
The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
IJON
2008
13 years 4 months ago
2008
Generalization, in its most basic form, is an artificial neural network's (ANN's) ability to automatically classify data that were not seen during training. This paper p...