Results 61 to 70 of about 87,603 (273)

Sparsest Input Selection for Controllability of Singular Systems via a Two-Step Greedy Algorithm

open access: yesIEEE Access, 2020
In this paper, the problem of determining the sparsest input matrices to ensure controllability of linear singular systems is investigated. Firstly, it is shown that, determining the sparsest input matrices to ensure reachable controllability or complete
Yan Zhang, Wanhong Zhang
doaj   +1 more source

Greedy Bayesian Posterior Approximation with Deep Ensembles

open access: yes, 2021
Published in the Transactions on Machine Learning Research: https://openreview.net/forum?id ...
Tiulpin, Aleksei, Blaschko, Matthew
openaire   +3 more sources

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham   +7 more
wiley   +1 more source

Approximation Bounds For Minimum Degree Matching [PDF]

open access: yes, 2015
We consider the MINGREEDY strategy for Maximum Cardinality Matching. MINGREEDY repeatedly selects an edge incident with a node of minimum degree. For graphs of degree at most $\Delta$ we show that MINGREEDY achieves approximation ratio at least $ \frac ...
Besser, Bert
core  

Truthful Mechanisms via Greedy Iterative Packing

open access: yes, 2009
An important research thread in algorithmic game theory studies the design of efficient truthful mechanisms that approximate the optimal social welfare.
Chekuri, Chandra, Gamzu, Iftah
core   +2 more sources

Efficiency analysis of GREEDI algorithm under delta-matroid constraints for subset selection in distributed systems

open access: yesРадіоелектронні і комп'ютерні системи
The subject matter of the article is the efficiency analysis of greedy optimization algorithms for subset selection in distributed systems under delta-matroid constraints.
Inessa Kulakovska
doaj   +1 more source

Sparse Ultrasound Imaging via Manifold Low-Rank Approximation and Non-Convex Greedy Pursuit

open access: yesSensors, 2018
Model-based image reconstruction has improved contrast and spatial resolution in imaging applications such as magnetic resonance imaging and emission computed tomography.
Thiago Alberto Rigo Passarin   +2 more
doaj   +1 more source

Computing Effective Mixed Strategies for Protecting Targets in Large-Scale Critical Infrastructure Networks

open access: yesFrontiers in Physics, 2021
Most critical infrastructure networks often suffer malicious attacks, which may result in network failures. Therefore, how to design more robust defense measures to minimize the loss is a great challenge. In recent years, defense strategies for enhancing
Zhen Wang   +4 more
doaj   +1 more source

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky   +8 more
wiley   +1 more source

Simultaneous sparse approximation via greedy pursuit [PDF]

open access: yes, 2005
A simple sparse approximation problem requests an approximation of a given input signal as a linear combination of T elementary signals drawn from a large, linearly dependent collection.
Gilbert, A. C.   +2 more
core  

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