This paper discusses the task of learning a classifier from observed data containing missing values amongst the inputs which are missing completely at random. A non-parametric perspective is adopted by defining a modified risk taking into account the uncertainty of the predicted outputs when missing values are involved. It is shown that this approach generalizes the approach of mean imputation ...

T1 mapping is a promising quantitative tool for assessing diffuse cardiomyopathies. The purpose of this study is to quantify in vivo accuracy of the Modified Look-Locker Inversion Recovery (MOLLI) cardiac T1 mapping sequence against the spin echo gold standard, which has not been done previously. T1 accuracy of MOLLI was determined by comparing with the gold standard inversion recovery spin ech...

in this study, the adsorption of thallium (iii) ion from aqueous solutions onto modified znonanopowder as a fairly low cost adsorbent has been investigated in batch mode. it was found thatmodification of the adsorbent was essential for obtaining the significant adsorption percentage. theadsorbent modified by sodium phosphate solution. the effect of experimental parameters such asinitial ph of s...

Vector fitting is widely accepted as a robust macromodelling tool for efficient frequency domain identification of passive components. The orthonormal vector fitting technique is introduced, which improves the numerical stability of the method, by using orthonormal rational functions. This leads to better conditioned equations, reduces the numerical sensitivity to the choice of starting poles s...

A tunnel is a symmetric structure working under uncertain load. In the traditional method of monitoring and measurement deformation, only small number measuring point displacements are engaged to represent overall deformation tunnel, it difficult fully reflect displacement changes during construction process. this paper, proposed for process based on 3D laser scanning technology. Initially, was...

Curve fitting with splines is a fundamental problem in computer-aided design and engineering. However, how to choose the number of knots and how to place the knots in spline fitting remain a difficult issue. This paper presents a framework for computing knots (including the number and positions) in curve fitting based on a sparse optimizationmodel. The framework consists of two steps: first, fr...