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Quadratic Approximate Dynamic Programming for Input-Affine Systems
approximate dynamic programming stochastic control convex optimization
2015/7/9
We consider the use of quadratic approximate value functions for stochastic control problems with input-affine dynamics and convex stage cost and constraints. Evaluating the approximate dynamic progra...
Factored expectation propagation for input-output FHMM models in systems biology
input output factored hidden Markov models approximate inference variational inference expectation propagation systems biology microarray data
2013/6/14
We consider the problem of joint modelling of metabolic signals and gene expression in systems biology applications. We propose an approach based on input-output factorial hidden Markov models and pro...
Control of a finite dam when the input process is either spectrally positive Levy or spectrally positive Levy reflected at its infimum
policies spectrally positive L´ evy processes spectrally pos-itive L´ evy processes reflected at its infimum scale functions exit times α-potentials total discounted and long-run-average costs.
2012/9/18
Baeet al. [6] consider the problem of optimal control of a finite dam usingPMλ,τpolicies, assuming that the input process is a compound Poisson process
with a negative drift. Lam and Lou [8] treat th...
Control of a finite dam when the input process is either spectrally positive Levy or spectrally positive Levy reflected at its infimum
policies spectrally positive L丩evy processes spectrally pos-itive L丩evy processes reflected at its infimum scale functions exit times 兛-potentials total discounted and long-run-average costs.
2012/9/18
Baeet al. [6] consider the problem of optimal control of a finite dam usingPM兩,冄policies, assuming that the input process is a compound Poisson process
with a negative drift. Lam and Lou [8] treat th...
Statistical testing procedure for the interaction effects of several controllable factors in two-valued input-output systems
Confoundings Contingency tables Controllable factors Covariate matrix Generalized linear models Hierarchical models
2010/4/29
Suppose several two-valued input-output systems are designed by setting the
levels of several controllable factors. For this situation, Taguchi method has proposed
to assign the controllable factors...