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» Input Window Size and Neural Network Predictors
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ISTCS
1993
Springer
13 years 11 months ago
Analog Computation Via Neural Networks
We pursue a particular approach to analog computation, based on dynamical systems of the type used in neural networks research. Our systems have a xed structure, invariant in time...
Hava T. Siegelmann, Eduardo D. Sontag
TNN
2008
138views more  TNN 2008»
13 years 7 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
BC
2007
107views more  BC 2007»
13 years 7 months ago
Decoding spike train ensembles: tracking a moving stimulus
We consider the issue of how to read out the information from nonstationary spike train ensembles. Based on the theory of censored data in statistics, we propose a ‘censored’ m...
Enrico Rossoni, Jianfeng Feng
INFORMATICALT
2010
145views more  INFORMATICALT 2010»
13 years 4 months ago
GSM Speech Coder Indirect Identification Algorithm
This paper presents GSM speech coder indirect identification algorithm based on sending novel identification pilot signals through the GSM speech channel. Each GSM subsystem distur...
Rajko Svecko, Bojan Kotnik, Amor Chowdhury, Zdenko...
ICANN
2007
Springer
14 years 1 months ago
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
Leonardo Franco, José Luis Subirats, Jos&ea...