Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks

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 classical o.ine grammatical inference with neural networks. The results obtained show that the performance of recurrent n...

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Bibliographische Detailangaben

Hauptverfasser:	Pérez-Ortiz, Juan Antonio, Calera-Rubio, Jorge, Forcada, Mikel L.
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Connectionism. Neural networks Exact sciences and technology
Online-Zugang:	Volltext
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