Results 31 to 40 of about 3,872,829 (369)
An introduction to inverse probability of treatment weighting in observational research
In this article we introduce the concept of inverse probability of treatment weighting (IPTW) and describe how this method can be applied to adjust for measured confounding in observational research, illustrated by a clinical example from nephrology ...
N. Chesnaye+6 more
semanticscholar +1 more source
Deep Learning Techniques for Inverse Problems in Imaging [PDF]
Recent work in machine learning shows that deep neural networks can be used to solve a wide variety of inverse problems arising in computational imaging.
Greg Ongie+5 more
semanticscholar +1 more source
Inverse optimal transport [PDF]
Discrete optimal transportation problems arise in various contexts in engineering, the sciences and the social sciences. Often the underlying cost criterion is unknown, or only partly known, and the observed optimal solutions are corrupted by noise.
Stuart, Andrew M.+1 more
core +3 more sources
Robust Constrained Inverse Beamforming Algorithm Based on Space Time Adaptive Processing
The power of Beidou satellite signals is very low, so it is vulnerable to interfering sources and in the presence of jamming. Therefore, a robust constrained inverse beamforming algorithm based on space-time adaptive processing is proposed, which can not
Yanping Liao+3 more
doaj +1 more source
Super Fuzzy Matrix of Inverse in kth Order
Unexpected event modelling is a affluent area of study in fuzzy matrix (FM) modelling. Every fuzzy matrix may be shown as a multidimensional cocept, but standard matrices cannot achieve this without the proper scale.
R. Deepa, Dr. P. Sundararajan
doaj +1 more source
Sparse inverse covariance estimation with the graphical lasso.
We consider the problem of estimating sparse graphs by a lasso penalty applied to the inverse covariance matrix. Using a coordinate descent procedure for the lasso, we develop a simple algorithm--the graphical lasso--that is remarkably fast: It solves a ...
Jerome H. Friedman+2 more
semanticscholar +1 more source
Poisson inverse problems [PDF]
In this paper we focus on nonparametric estimators in inverse problems for Poisson processes involving the use of wavelet decompositions. Adopting an adaptive wavelet Galerkin discretization, we find that our method combines the well-known theoretical ...
Antoniadis, Anestis, Bigot, Jéremie
core +5 more sources
The Inverse Bagging Algorithm: Anomaly Detection by Inverse Bootstrap Aggregating [PDF]
For data sets populated by a very well modeled process and by another process of unknown probability density function (PDF), a desired feature when manipulating the fraction of the unknown process (either for enhancing it or suppressing it) consists in ...
Dorigo, Tommaso, Vischia, Pietro
core +1 more source
Inversion of Gamow’s formula and inverse scattering
Gamow’s tunneling formula is inverted and the issue of the uniqueness of the solution is compared with the solution obtained by the method of Gel’fand and Levitan. Some insight is gained into the key differences between classical and quantum inverse scattering, which account for the fact that a potential can be uniquely determined in the latter but ...
Gandhi, Sohang C., Efthimiou, Costas J.
openaire +5 more sources
Non-commutative Stone duality: inverse semigroups, topological groupoids and C*-algebras [PDF]
We study a non-commutative generalization of Stone duality that connects a class of inverse semigroups, called Boolean inverse $\wedge$-semigroups, with a class of topological groupoids, called Hausdorff Boolean groupoids. Much of the paper is given over
Lawson, Mark V
core +1 more source