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New techniques are presented for the model reduction of linear time-varying and linear periodically-varying systems, including the formulation and proof of guaranteed upper bounds for the error. The c...
Error-bounds are developed for balanced truncation of linear time-varying systems, leading to an extension of the `twice the sum of the tail' formulae, well-known in the time-invariant case. The appro...
Abstract: Consider the set of all error--correcting block codes over a fixed alphabet with $q$ letters. It determines a recursively enumerable set of points in the unit square with coordinates $(R,\de...
Abstract: We consider fundamental limits of the secret key generation problem when the sources are randomly excited by the sender and there is a noiseless public discussion channel. In many practical ...
Abstract: A lower bound on the minimum error probability for multihypothesis testing is established. The bound, which is expressed in terms of the cumulative distribution function of the tilted poster...
Abstract: This paper develops an envelope-based approach to establish a link between information and queueing theory. Unlike classical, equilibrium information theory, information envelopes focus on t...
This paper presents our error tolerable sys-tem for coreference resolution in CoNLL-2011(Pradhan et al., 2011) shared task (closed track). Different from most previous reported work, we detect mention...
摘要 Consider the linear regression model Y_i=x_i′β+σ_ie_i,i=1,…,n,…, where E(e_i)=0, E(e_ie_j)=δ_(ij), 00. This paper shows that (i) if σ_i~2,i=1,2…, are known, then the necessary and sufficient condit...
Residual-based a posteriori error estimate for conforming finite element solutions of incompressible Navier-Stokes equations, which is computed with a new two-level method that is different from Volke...
This work is concerned with identification of systems that are subject to notonly measurement noises, but also structural uncertainties such as unmodeleddynamics, sensor nonlinear mismatch, and observ...
This paper concerns robust Kalman filtering for systems undernorm bounded uncertainties in all the system matrices and errorcovariance constraints. Sufficient conditions are given for theexistence of ...
Under a locally generalized Gaussian error's structure, we obtain strong uniform consistency for nonparametric regression function estimators and strong consistency for parametric component estimators...
If we restrict the postman to traversing each edge at most twice in the windy postman problem (WPP), we will get a new problem: 2WPP. An approximation algorithmhas been posed by M. Guan for the WPP. I...
Under multivariant normal linear models, it is proved that usual loss estimators based on the uniformly minimum variance unbiased estimator and the best affinely equivariant estimator of error varianc...
In this paper we study Galerkin approximations to the solution of the nonlinear Sobolev equation c(u)u_t=▽·{a(u)▽u_t+b(u)▽u}+f(u) in two spatial dimensions and derive optimal L~2 error estimates for t...

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