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NN
2006
Springer
15 years 6 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
JCNS
2000
67views more  JCNS 2000»
15 years 6 months ago
Renewal-Process Approximation of a Stochastic Threshold Model for Electrical Neural Stimulation
In a recent set of modeling studies we have developed a stochastic threshold model of auditory nerve response to single biphasic electrical pulses (Bruce et al., 1999c) and moderat...
Ian C. Bruce, Laurence S. Irlicht, Mark W. White, ...
PVLDB
2010
82views more  PVLDB 2010»
15 years 4 months ago
SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems
There are many academic and commercial stream processing engines (SPEs) today, each of them with its own execution semantics. This variation may lead to seemingly inexplicable diļ...
Irina Botan, Roozbeh Derakhshan, Nihal Dindar, Lau...
GECCO
2011
Springer
247views Optimization» more  GECCO 2011»
14 years 10 months ago
An agent-based model of the effects of a primate social structure on the speed of natural selection
The rate of speciation is in most mammals an order of magnitude faster than in most other vertebrates. It is faster still in the social mammals. The apparent association between c...
Gideon M. Gluckman, Joanna Bryson
ICCV
2007
IEEE
16 years 8 months ago
Modeling View and Posture Manifolds for Tracking
In this paper we consider modeling data lying on multiple continuous manifolds. In particular, we model the shape manifold of a person performing a motion observed from different ...
Chan-Su Lee, Ahmed M. Elgammal