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» Model Checking Performability Properties
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106
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IJCNN
2006
IEEE
15 years 6 months ago
Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network
— Inspired by the universal laws governing different kinds of complex networks, we propose a scale-free highlyclustered echo state network (SHESN). Different from echo state netw...
Zhidong Deng, Yi Zhang
EVOW
1999
Springer
15 years 5 months ago
Evolution of Digital Filters Using a Gate Array Model
The traditional paradigm for digital filter design is based on the concept of a linear difference equation with the output response being a weighted sum of signal samples with usua...
Julian F. Miller
101
Voted
ICANN
2010
Springer
15 years 1 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
114
Voted
ICONIP
2009
14 years 10 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
120
Voted
SAT
2005
Springer
162views Hardware» more  SAT 2005»
15 years 6 months ago
Heuristics for Fast Exact Model Counting
An important extension of satisfiability testing is model-counting, a task that corresponds to problems such as probabilistic reasoning and computing the permanent of a Boolean ma...
Tian Sang, Paul Beame, Henry A. Kautz