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» Dependence Modeling for Stochastic Simulation
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CORR
2008
Springer
117views Education» more  CORR 2008»
13 years 8 months ago
Robust Stochastic Chemical Reaction Networks and Bounded Tau-Leaping
The behavior of some stochastic chemical reaction networks is largely unaffected by slight inaccuracies in reaction rates. We formalize the robustness of state probabilities to re...
David Soloveichik
ICRA
2009
IEEE
96views Robotics» more  ICRA 2009»
14 years 3 months ago
Harnessing bacterial power in microscale actuation
— This paper presents a systematic analysis of the motion of microscale structures actuated by flagellated bacteria. We perform the study both experimentally and theoretically. ...
A. Agung Julius, M. Selman Sakar, Edward Steager, ...
BIOSYSTEMS
2008
102views more  BIOSYSTEMS 2008»
13 years 8 months ago
A computational model for telomere-dependent cell-replicative aging
Telomere shortening provides a molecular basis for the Hayflick limit. Recent data suggest that telomere shortening also influence mitotic rate. We propose a stochastic growth mod...
R. D. Portugal, M. G. P. Land, Benar Fux Svaiter
WSC
2007
13 years 11 months ago
American option pricing under stochastic volatility: a simulation-based approach
We consider the problem of pricing American options when the volatility of the underlying asset price is stochastic. No specific stochastic volatility model is assumed for the st...
Arunachalam Chockalingam, Kumar Muthuraman
ACL
2008
13 years 10 months ago
Semi-Supervised Convex Training for Dependency Parsing
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
Qin Iris Wang, Dale Schuurmans, Dekang Lin