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ICANN
2009
Springer
15 years 8 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
MPC
2010
Springer
159views Mathematics» more  MPC 2010»
15 years 8 months ago
Subtyping, Declaratively
Abstract. It is natural to present subtyping for recursive types coinductively. However, Gapeyev, Levin and Pierce have noted that there is a problem with coinductive definitions ...
Nils Anders Danielsson, Thorsten Altenkirch
ACSD
2009
IEEE
136views Hardware» more  ACSD 2009»
15 years 10 months ago
Model Checking Verilog Descriptions of Cell Libraries
We present a formal semantics for a subset of Verilog, commonly used to describe cell libraries, in terms of transition systems. Such transition systems can serve as input to symb...
Matthias Raffelsieper, Jan-Willem Roorda, Mohammad...
136
Voted
PTS
2003
108views Hardware» more  PTS 2003»
15 years 4 months ago
Fault Diagnosis in Extended Finite State Machines
In this paper, we propose a method for the derivation of an adaptive diagnostic test suite when the system specification and implementation are given in the form of an extended fin...
Khaled El-Fakih, Svetlana Prokopenko, Nina Yevtush...
ENTCS
2007
96views more  ENTCS 2007»
15 years 3 months ago
Semantics of Biological Regulatory Networks
The aim of the paper is to revisit the model of Biological Regulatory Networks (BRN) which was proposed by René Thomas to model the interactions between a set of genes. We give a...
Gilles Bernot, Franck Cassez, Jean-Paul Comet, Fra...