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» Learning nonlinear dynamic models
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112
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CSB
2005
IEEE
163views Bioinformatics» more  CSB 2005»
15 years 6 months ago
A symbolic approach to the simulation of biochemical models: application to circadian rhythms
Symbolic rewriting systems are gaining interest as tools for simulating biochemical dynamics. Compared to traditional methods based on differential equations, the symbolic approac...
Federico Fontana, Luca Bianco, Vincenzo Manca
88
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AMC
2007
110views more  AMC 2007»
15 years 27 days ago
Pest regulation by means of impulsive controls
In this paper, we consider an integrated pest management model which is impulsively controlled by means of biological and chemical controls. These controls are assumed to act in a...
Paul Georgescu, Gheorghe Morosanu
115
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AMDO
2006
Springer
15 years 4 months ago
Monocular Tracking with a Mixture of View-Dependent Learned Models
This paper considers the problem of monocular human body tracking using learned models. We propose to learn the joint probability distribution of appearance and body pose using a m...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...
107
Voted
JMLR
2010
154views more  JMLR 2010»
14 years 7 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
110
Voted
ICIP
2007
IEEE
16 years 2 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas