A General Probability Estimation Approach for Neural Computation

We describe an analytical framework for the adaptations of neural systems that adapt its internal structure on the basis of subjective probabilities constructed by computation of randomly received input signals. A principled approach is provided with the key property that it defines a probability de...

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Veröffentlicht in:	Neural computation 2000-02, Vol.12 (2), p.433-450
Hauptverfasser:	Khaikine, Maxim, Holthausen, Klaus
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Exact sciences and technology Linear inference, regression Mathematics Nonparametric inference Probability and statistics Sciences and techniques of general use Statistics
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