Results 91 to 100 of about 1,195,901 (281)
Generalized Boosting Algorithms for Convex Optimization [PDF]
, 2011 Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks, we analyze gradient-based descent algorithms for boosting with respect to ...
Bagnell, J. Andrew, Grubb, Alexander
core +1 more source
Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu +16 more
wiley +1 more source
Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih +40 more
wiley +1 more source
Automatic switching algorithms in hybrid single-objective optimization [PDF]
FME Transactions, 2013 Hybrid optimization algorithms consist of a number of proven constituent optimization algorithms and a control algorithm that performs automatic switching among the constituent algorithms at each stage during the optimization when the rate of convergence
Dulikravich George S. +3 more
doaj
Optimization of the Complex-RFM optimization algorithm
Optimization and Engineering, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Persson, Johan, Ölvander, Johan
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Local search for parallel optimization algorithms for high diminsional optimization problems
MATEC Web of Conferences, 2018 Local search algorithms perform an important role when being employed with optimization algorithms tackling numerous optimization problems since they lead to getting better solutions.
Abd-Alsabour Nadia
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Load Balancing Based on Optimization Algorithms: An Overview
Journal of Telecommunications and Information Technology, 2019 Combinatorial optimization challenges are rooted in real-life problems, continuous optimization problems, discrete optimization problems and other significant problems in telecommunications which include, for example, routing, design of communication ...
Fatma Mbarek, Volodymyr Mosorov
doaj +1 more source
Self-adaptive Multi-population Rao Algorithms for Engineering Design Optimization
Applied Artificial Intelligence, 2020 The performance of various population-based advanced optimization algorithms has been significantly improved by using the multi-population search scheme.
R. V. Rao, R. B. Pawar
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Optimal aggregation algorithms for middleware
Journal of Computer and System Sciences, 2001 41 pages. Preliminary version appeared in ACM PODS 2001, pp.
Fagin, Ronald, Lotem, Amnon, Naor, Moni
openaire +3 more sources