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NECO
2007
115views more  NECO 2007»
14 years 10 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
PR
2007
118views more  PR 2007»
14 years 10 months ago
A cooperative constructive method for neural networks for pattern recognition
In this paper, we propose a new constructive method, based on cooperative coevolution, for designing automatically the structure of a neural network for classification. Our appro...
Nicolás García-Pedrajas, Domingo Ort...
QUESTA
2007
98views more  QUESTA 2007»
14 years 10 months ago
The acquisition queue
We propose a new queueing model named the acquisition queue. It differs from conventional queueing models in that the server not only serves customers, but also performs acquisit...
Dee Denteneer, J. S. H. van Leeuwaarden, Ivo J. B....
TIT
2008
187views more  TIT 2008»
14 years 10 months ago
The Bare Bounded-Storage Model: The Tight Bound on the Storage Requirement for Key Agreement
Abstract--In the bounded-storage model (BSM) for information-theoretic secure encryption and key agreement, one makes use of a random string R whose length t is greater than the as...
Stefan Dziembowski, Ueli M. Maurer
PVLDB
2008
232views more  PVLDB 2008»
14 years 9 months ago
FINCH: evaluating reverse k-Nearest-Neighbor queries on location data
A Reverse k-Nearest-Neighbor (RkNN) query finds the objects that take the query object as one of their k nearest neighbors. In this paper we propose new solutions for evaluating R...
Wei Wu, Fei Yang, Chee Yong Chan, Kian-Lee Tan