364 search results - page 15 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
106
Voted
IJON
2002
15 years 2 months ago
2002
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...
112
Voted
TNN
1998
15 years 2 months ago
1998
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
150
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ICANN
2001
Springer
15 years 7 months ago
2001
Springer
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
143
Voted
IJCNN
2008
IEEE
15 years 9 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 ...
172
Voted
AI
2002
Springer
15 years 2 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...