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ICANN
2001
Springer
13 years 11 months ago
2001
Springer
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
ICANN
2001
Springer
13 years 11 months ago
2001
Springer
In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Given the value of design variables, under this ...
ICANN
2001
Springer
13 years 11 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
ICANN
2001
Springer
13 years 11 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...
ICANN
2001
Springer
13 years 11 months ago
2001
Springer
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...