Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions
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This paper concerns parameter identification for the class of jump Markov linear systems. We present recursive formulae for the computation of the second-order statistics of a jump Markov process and discuss their application to the estimation of the model ...
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often unrealistic assumptions on the conditional independence of observations given ...
This paper concerns parameter identification for the class of jump Markov linear systems. We present recursive formulae for the computation of the second-order statistics of a jump Markov process and discuss their application to the estimation of the model ...
Distributed co-ordination is the result of dynamical processes enabling independent agents to coordinate their actions without the need of a central co-ordinator. In the past few years, several computational models have illustrated the role played by such ...
The value of a finite-state two-player zero-sum stochastic game with limit-average payoff can be approximated to within e in time exponential in a polynomial in the size of the game times polynomial in logarithmic in 1/epsilon, for all epsilon > 0. ...
This paper presents an improved subdomain multilevel approach (SMA), a technique efficiently used for solving large complex-shaped antennas printed in multilayered media structure. In a large electromagnetic problem, where the memory occupation and computa ...
The paper contains description of the implementation of C code for tree representation of Markov Chain Monte Carlo(MCMC) clustering. The aim of the code is to produce results which helps in visual representation of the most frequent pattern, its agglomerat ...
This paper studies the price of an asset depending on both a fundamental and possible interventions of an authority. Using the martingale approach in continuous time, we provide closed-form solutions to switching problems involving irreversible, state depe ...
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often unrealistic assumptions on the conditional independence of observations given ...
This correspondence provides bounds on the rate-distortion region for the distributed compression scenario where two (or more) sources are compressed separately for a decoder that has access to side information.Conclusive rate-distortion results are found ...