Results 51 to 60 of about 8,069,229 (248)
On the Problem of a Linear Function Localization on Permutations
Кібернетика та комп'ютерні технології, 2020 Combinatorial optimization problems and methods of their solution have been a subject of numerous studies, since a large number of practical problems are described by combinatorial optimization models.
G.A. Donets, V.I. Biletskyi
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
Clustering and combinatorial optimization in recursive supervised learning
, 2007 The use of combinations of weak learners to learn a dataset has been shown to be better than the use of a single strong learner. In fact, the idea is so successful that boosting, an algorithm combining several weak learners for supervised learning, has
Guan, S.U. +5 more
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Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Multimode extensions of Combinatorial Optimization problems
, 2016 We review some complexity results and present a viable heuristic approach based on the Variable Neighborhood Search (VNS) framework for multimode extension of combinatorial optimization problems, such as the the Set Covering Problem (SCP) and the ...
G. Lulli, R. Cordone
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A Two‐Stage Plasma Biomarker Algorithm Reduces Amyloid PET Use and the p‐Tau217 Gray Zone
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma p‐Tau217 leaves 30%–50% of patients in an indeterminate “gray zone” often requiring Aβ‐PET. We developed GRAD (Gatekeeper‐Reflex for Alzheimer's Disease), a two‐stage Aβ‐positivity prediction model to improve classification while reserving Aβ‐PET for residual uncertainty.
Harthik Parankusham +7 more
wiley +1 more source
A combinatorial optimization problem arising from text classification
, 2003 We study a combinatorial optimization problem related to the automatic classification of texts. The problem consists of covering a given text using strings from a given set, where a cost is incurred for each type of string used.
S. Bosio, G. Righini
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Focusing on the Golden Ball Metaheuristic: An Extended Study on a Wider Set of Problems
The Scientific World Journal, 2014 Nowadays, the development of new metaheuristics for solving optimization problems is a topic of interest in the scientific community. In the literature, a large number of techniques of this kind can be found.
E. Osaba +4 more
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Aplicación de la búsqueda tabú en regresión no lineal
Revista de Matemática: Teoría y Aplicaciones, 2009 We implement the combinatorial optimization technique known as tabu search in the parameter estimation problem in a given non linear model. For the generation of neighbors, the implementation is based on a discretization of the parameter space, which is ...
Mario A. Villalobos +2 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Blood‐based biomarkers are increasingly used to identify Alzheimer's disease (AD) pathology and may play an important role in early disease screening and participant selection for clinical trials. However, their performance across stages of cognitive impairment remains unclear. This study examined whether plasma biomarkers differ in
Maryam Abdolmaleki +7 more
wiley +1 more source