Results 111 to 120 of about 4,919,639 (299)
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
wiley +1 more source
Transfer Reinforcement Learning for Combinatorial Optimization Problems
Reinforcement learning is an important technique in various fields, particularly in automated machine learning for reinforcement learning (AutoRL).
Gleice Kelly Barbosa Souza +5 more
doaj +1 more source
A combinatorial problem on Trapezoidal words
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openaire +2 more sources
Analysis of the fitness landscape for the class of combinatorial optimisation problems
Anatomy of the fitness landscape for a group of well known combinatorial optimisation problems is studied in this research and the similarities and the differences between their landscapes are pointed out.
Tayarani-Najaran, M.-H.
core +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
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
An Ancient Combinatorial Problem
Marc Berger, Peter Winkler 0001
openaire +1 more source
Combinatorial optimization tolerances calculated in linear time [PDF]
For a given optimal solution to a combinatorial optimization problem, we show, under very natural conditions, the equality of the minimal values of upper and lower tolerances, where the upper tolerances are calculated for the given optimal solution and ...
Goldengorin, Boris, Sierksma, Gerard
core
Motivation for differential evolution for permutative-based combinatorial problems
It is generally accepted that Differential Evolution (DE) was originally designed to solve problems which are defined in continuous form. Some researchers have however, felt that this is a limiting factor on DE, hence there have been vigorous research ...
Davendra, Donald David +3 more
core +1 more source
Progressive Parkinsonism in PPP2R5D‐Related Neurodevelopmental Disorder
ABSTRACT PPP2R5D‐related neurodevelopmental disorder (Houge–Janssens syndrome type 1) is a rare autosomal dominant condition characterized by macrocephaly, intellectual disability, and epilepsy. Progressive parkinsonism is an emerging adult phenotype that neurologists should be aware of since timely genetic diagnosis opens the door to disease‐modifying
Katerina Bernardi +6 more
wiley +1 more source
The Traveling Salesman Problem (TSP) is the most prominent of the combinatorial optimization problems that belongs to NP-Hard. The best algorithm for solving TSP is the branch-bound algorithm with exponential-time complexity.
Đỗ Như An
doaj +1 more source

