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ICML
2008
IEEE
16 years 4 months ago
Classification using discriminative restricted Boltzmann machines
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
Hugo Larochelle, Yoshua Bengio
FOCI
2007
IEEE
15 years 10 months ago
Opposite Transfer Functions and Backpropagation Through Time
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
Mario Ventresca, Hamid R. Tizhoosh
WMTE
2002
IEEE
15 years 9 months ago
Collaboration Design Patterns: Conceptual Tools for Planning for The Wireless Classroom
Wireless and mobile devices are beginning to offer stunning new technical capabilities for collaborative learning. Yet, researchers in this field must recognize the importance of ...
Chris DiGiano, Louise Yarnall, Charles Patton, Jer...
ICANN
2010
Springer
15 years 5 months ago
Policy Gradients for Cryptanalysis
So-called Physical Unclonable Functions are an emerging, new cryptographic and security primitive. They can potentially replace secret binary keys in vulnerable hardware systems an...
Frank Sehnke, Christian Osendorfer, Jan Sölte...
CGA
1999
15 years 3 months ago
Visualizing Large Telecommunication Data Sets
displays to abstract network data and let users interactwithit.Wehaveimplementedafull-scaleSwift3D prototype, which generated the examples we present here. Swift-3D We developed Sw...
Eleftherios Koutsofios, Stephen C. North, Daniel A...