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ICANN
2003
Springer
16 years 19 hour ago
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
KES
2000
Springer
15 years 10 months ago
A fuzzy approach to adaptive hypermedia
This paper presents an open, concurrent model of adaptive hypermedia all its functionality and data are completely distributed on a web of autonomous actors. The model that enable...
Antonina Dattolo, Vincenzo Loia
PRL
2008
88views more  PRL 2008»
15 years 6 months ago
Time-efficient spam e-mail filtering using n-gram models
In this paper, we propose spam e-mail filtering methods having high accuracies and low time complexities. The methods are based on the n-gram approach and a heuristics which is re...
Ali Çiltik, Tunga Güngör
TSP
2008
105views more  TSP 2008»
15 years 6 months ago
Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Cha...
DAC
2002
ACM
16 years 7 months ago
Combined BEM/FEM substrate resistance modeling
For present-day micro-electronic designs, it is becoming ever more important to accurately model substrate coupling effects. Basically, either a Finite Element Method (FEM) or a B...
Eelco Schrik, N. P. van der Meijs
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