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Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN) are one of the most powerful dynamic classifiers publicly known. The network itself and the related learning algorithms are reasonably well documented to get an idea how it works. This paper
Externí odkaz:
http://arxiv.org/abs/1909.09586
In a software system it is possible to quantify the amount of information that is leaked or corrupted by analysing the flows of information present in the source code. In a cyber-physical system, information flows are not only present at the digital
Externí odkaz:
http://arxiv.org/abs/1708.04798
Autor:
Nehaniv, Chrystopher L., Rhodes, John, Egri-Nagy, Attila, Dini, Paolo, Morris, Eric Rothstein, Horváth, Gábor, Karimi, Fariba, Schreckling, Daniel, Schilstra, Maria J.
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2015 Jul . 373(2046), 1-46.
Externí odkaz:
http://www.jstor.org/stable/24506282