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ICANN
2010
Springer
15 years 7 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
CORR
2008
Springer
126views Education» more  CORR 2008»
15 years 6 months ago
Non-Negative Matrix Factorization, Convexity and Isometry
Traditional Non-Negative Matrix Factorization (NMF) [19] is a successful algorithm for decomposing datasets into basis function that have reasonable interpretation. One problem of...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
JSW
2008
158views more  JSW 2008»
15 years 6 months ago
Hybrid Wireless Mesh Network with Application to Emergency Scenarios
Establishing and accessing a reliable communication infrastructure at crisis site is a challenging research problem. Failure in communication infrastructure and information exchang...
Raheleh B. Dilmaghani, Ramesh R. Rao
TCS
2008
15 years 6 months ago
True-concurrency probabilistic models: Markov nets and a law of large numbers
We introduce the model of Markov nets, a probabilistic extension of safe Petri nets under the true-concurrency semantics--this means that traces, not firing sequences, are given a...
Samy Abbes, Albert Benveniste
FUIN
2002
63views more  FUIN 2002»
15 years 6 months ago
Probabilistic Cluster Unfoldings
Abstract. This article introduces probabilistic cluster branching processes, a probabilistic unfolding semantics for untimed Petri nets, with no structural or safety assumptions, g...
Stefan Haar