Results 141 to 150 of about 1,101,099 (365)

Automated Generation of Hybrid Metaheuristics Using Learning-to-Rank

Algorithms
Metaheuristic algorithms, due to their superior global exploration capabilities and applicability, have emerged as critical tools for addressing complicated optimization tasks.
Xinru Xue, Ting Shu, Jinsong Xia
doaj   +1 more source

Learning to rank query expansion terms for COVID-19 scholarly search. [PDF]

J Biomed Inform, 2023
Khader A, Ensan F.
europepmc   +1 more source

Optimizing Estimated Loss Reduction for Active Sampling in Rank Learning [PDF]

, 2008
Pınar Dönmez, Jaime Carbonell
openalex   +1 more source

Learning Mixtures of Ranking Models

, 2006
This work concerns learning probabilistic models for ranking data in a heterogeneous population. The specific problem we study is learning the parameters of a Mallows Mixture Model. Despite being widely studied, current heuristics for this problem do not have theoretical guarantees and can get stuck in bad local optima.
Awasthi, Pranjal, Blum, Avrim, Sheffet, Or, Vijayaraghavan, Aravindan   +3 more
openaire   +2 more sources

Bilateral versus Unilateral Training With Rhythmic Auditory Cueing in Stroke Rehabilitation: Effects on Upper Limb Function and Interhemispheric Inhibition

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stroke is a leading cause of long‐term disability in adults, with upper limb hemiparesis being a common impairment. Traditional training is mostly aimed at paralyzed limbs, but the effect of bilateral training is still unclear.
Fangfang Qian, Yanhong Dai, Guoqiang Zheng, Qi Zhong, Jianliang Lu, Luying Hu, Youhua He, Zhuoming Chen   +7 more
wiley   +1 more source

A File-Statement Approach for Bug Localization: Optimizing IRBL and Combination Strategy

IEEE Access
One of the main objectives of software testing is to locate the position of bugs. Bug localization is generally categorized into statement-level and file-level localization.
Zhonghao Guo, Xinyue Xu, Xiangxian Chen, Chenge Geng   +3 more
doaj   +1 more source

ICU‐EEG Pattern Detection by a Convolutional Neural Network

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano, Hervé Quintard, Andreas Kleinschmidt, Nikita Francini, Oana E. Sarbu, Pia De Stefano   +5 more
wiley   +1 more source

Learning to rank videos personally using multiple clues [PDF]

, 2009
Songhua Xu, Hao Jiang, Francis C. M. Lau
openalex   +1 more source

Long COVID in People With Multiple Sclerosis and Related Disorders: A Multicenter Cross‐Sectional Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Managing long COVID in people with multiple sclerosis and related disorders (pwMSRD) is complex due to overlapping symptoms. To address evidence gaps, we evaluated long COVID susceptibility in pwMSRD versus controls and its associations with multi‐domain function and disability.
Chen Hu, Jiyeon Son, Lindsay McAlpine, Elizabeth L. S. Walker, Megan Dahl, Emily Song, Sugeidy Ferreira Brito, Katelyn Kavak, Kaho Onomichi, Amit Bar‐Or, Christopher Perrone, Claire S. Riley, Bianca Weinstock‐Guttman, Philip L. De Jager, Erin E. Longbrake, Zongqi Xia   +15 more
wiley   +1 more source

Learning to rank graphs for online similar graph search [PDF]

, 2009
Bingjun Sun, Prasenjit Mitra, C. Lee Giles   +2 more
openalex   +1 more source