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» Combining Simple Models to Approximate Complex Dynamics
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JCB
2006
114views more  JCB 2006»
13 years 7 months ago
A General Modeling Strategy for Gene Regulatory Networks with Stochastic Dynamics
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
Andre Ribeiro, Rui Zhu, Stuart A. Kauffman
ALT
1997
Springer
13 years 11 months ago
Learning DFA from Simple Examples
Efficient learning of DFA is a challenging research problem in grammatical inference. It is known that both exact and approximate (in the PAC sense) identifiability of DFA is har...
Rajesh Parekh, Vasant Honavar
ICML
2006
IEEE
14 years 8 months ago
Hierarchical classification: combining Bayes with SVM
We study hierarchical classification in the general case when an instance could belong to more than one class node in the underlying taxonomy. Experiments done in previous work sh...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
WACV
2002
IEEE
14 years 14 days ago
Automatic Pose Estimation of Complex 3D Building Models
3D models of urban sites with geometry and facade textures are needed for many planning and visualization applications. Approximate 3D wireframe model can be derived from aerial i...
Sung Chun Lee, Soon Ki Jung, Ramakant Nevatia
CMSB
2009
Springer
14 years 2 months ago
Probabilistic Approximations of Signaling Pathway Dynamics
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
Bing Liu, P. S. Thiagarajan, David Hsu