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搜索结果: 1-13 共查到管理学 inverse problems相关记录13条 . 查询时间(0.109 秒)
A global stochastic search method, which is strictly derivative-free yet directed through a gain-based additive update term, is proposed and applied to the inverse problem of ultrasound modulated opti...
Regularized kernel methods such as support vector machines (SVM) and support vector regression (SVR) constitute a broad and flexible class of methods which are theoretically well investigated and comm...
A common problem in the sciences is that a signal of interest is observed only indirectly, through smooth functionals of the signal whose values are then obscured by noise. In suchinverse problems, th...
We consider the inverse problem of estimating a function u from noisy, possibly nonlinear, observations. We adopt a Bayesian approach to the problem and widen the existing theory, which is developed...
A number of regularization methods for discrete inverse problems consist in considering weighted versions of the usual least square solution. However, these so-called filter methods are generally res...
In applications throughout science and engineering one is often faced with the challenge of solving an ill-posed inverse problem, where the number of available measurements is smaller than the dimensi...
We study estimation of a multivariate function f :Rd !R when the observations are available from the function Af, where A is a known linear operator. Both the Gaussian white noise model and densit...
We consider the signal detection problem for mildly, severely and extremely ill-posed inverse problems with Sobolev, analytic and generalized analytic classes of functions under the Gaussian white n...
This paper presents a methodology for cross-validation in the context of Bayesian modelling of situations we loosely refer to as iverse problems It is motivated by an example from palaeoclimatology ...
We provide a new algorithm for the treatment of inverse problems which combines the traditional SVD inversion with an appropriate thresholding technique in a well chosen new basis. Our goal is to devi...
We tackle the problem of building adaptive estimation procedures for ill-posed inverse problems. For general regularization methods depending on tuning parameters, we construct a penalized method that...
We consider in this paper a Gaussian sequence model of observations Yi, i ≥ 1 having mean (or signal) θi and variance σi which is growing polynomially like i ,γ > 0. This model describes a large pan...
We provide a new algorithm for the treatment of inverse problems which combines the traditional SVD inversion with an appropriate thresholding technique in a well chosen new basis. Our goal is to de...

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