Results 31 to 40 of about 3,962,404 (360)

Deep Learning Techniques for Inverse Problems in Imaging [PDF]

open access: yesIEEE Journal on Selected Areas in Information Theory, 2020
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

The Inverse Bagging Algorithm: Anomaly Detection by Inverse Bootstrap Aggregating [PDF]

open access: yes, 2016
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

Mathematical Formulation of Dmh-Based Inverse Optimization

open access: yesFrontiers in Oncology, 2014
Purpose: To introduce the concept of dose-mass based inverse optimization for radiotherapy applications.Materials and Methods: Mathematical derivation of the dose-mass based formalism is presented. This mathematical representation is compared to the most
Ivaylo eMihaylov, Eduardo eMoros
doaj   +1 more source

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

open access: yesStatistics in Medicine, 2015
The propensity score is defined as a subject's probability of treatment selection, conditional on observed baseline covariates. Weighting subjects by the inverse probability of treatment received creates a synthetic sample in which treatment assignment ...
P. Austin, E. Stuart
semanticscholar   +1 more source

Robust Constrained Inverse Beamforming Algorithm Based on Space Time Adaptive Processing

open access: yesIEEE Access, 2019
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

open access: yesRatio Mathematica, 2023
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

The existence of an inverse limit of inverse system of measure spaces - a purely measurable case [PDF]

open access: yes, 2009
The existence of an inverse limit of an inverse system of (probability) measure spaces has been investigated since the very beginning of the birth of the modern probability theory.
A. Brandenburger   +12 more
core   +1 more source

On F-inverse covers of inverse monoids

open access: yesJournal of Pure and Applied Algebra, 2006
An inverse monoid \(F\) in which every class with respect to the smallest group congruence has a maximal element in the natural partial order is called an \(F\)-inverse monoid. Such a monoid \(F\) is an \(F\)-inverse cover of an inverse monoid \(M\) if there is an idempotent-separating onto homomorphism \(F\to M\).
Karl Auinger, Mária B. Szendrei
openaire   +4 more sources

Empowering Metasurfaces with Inverse Design: Principles and Applications

open access: yesACS Photonics, 2022
: Conventional human-driven methods face limitations in designing complex functional metasurfaces. Inverse design is poised to empower metasurface research by embracing fast-growing arti fi cial intelligence.
Zhaoyi Li   +4 more
semanticscholar   +1 more source

Design of High Temperature Ti–Al–Cr–V Alloys for Maximum Thermodynamic Stability Using Self-Organizing Maps

open access: yesMetals, 2019
Data generated for the Ti−Al−Cr−V system of metallic alloys from our previous publication, where the composition of 102 alloys were computationally Pareto optimized with the objective of simultaneously maximizing the Young’s ...
Rajesh Jha, George S. Dulikravich
doaj   +1 more source

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