A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
d Abstraction of Class Diagrams ALEXANDER EGYED Teknowledge Corporation Designers can easily become overwhelmed with details when dealing with large class diagrams. icle presents a...
New currency recirculation guidelines implemented by the Federal Reserve System (Fed) of the United States are intended to reduce the overuse of its currency processing services b...
H. Neil Geismar, Milind Dawande, Divakar Rajamani,...
Multicast-based inference has been proposed as a method of estimating average loss rates of internal network links, using end-to-end loss measurements of probes sent over a multic...
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...