Results 151 to 160 of about 1,093,151 (324)

Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications

, 2017
European PhD Thesis.
openaire   +4 more sources

Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank [PDF]

, 2021
Yiling Jia, Hongning Wang
openalex   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning [PDF]

Song Wang, Xiaolu Liu, Lingdong Kong, Jianyun Xu, Chunyong Hu, Gongfan Fang, Wentong Li, Jianke Zhu, Xinchao Wang   +8 more
openalex   +1 more source

Identifying High‐Impact Solutions to Address Racial and Ethnic Health Disparities in Lupus: A Consensus‐Based Approach

Arthritis Care &Research, EarlyView.
Objective We conducted formative research aimed at identifying solutions that address inequitable health outcomes in lupus due to adverse social determinants of health (SDoH). Methods We conducted a search for keywords, which provided insights into potential solutions and initiatives underway. An advisory panel of lupus experts iteratively reviewed the
Joy Buie, Michael P. Fisher, Kristen Backor, Hannah Tyldsley, Ashira Blazer, Candace Feldman, Andrea Knight, S. Sam Lim, Barbara Ann Polk, Ed Yelin, Edith Williams, Karen H. Costenbader   +11 more
wiley   +1 more source

Learning to Rank For Push Notifications Using Pairwise Expected Regret [PDF]

, 2022
Yuguang Yue, Yuanpu Xie, Huasen Wu, Haofeng Jia, Shaodan Zhai, Wenzhe Shi, Jonathan J. Hunt   +6 more
openalex   +1 more source

Exploring Patients’ Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial

Arthritis Care &Research, EarlyView.
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart, Laurène Norberciak, Pascal Richette, Pierre Robinet, Aurore Pacaud, Gauthier Marchasson, Thibault Rabin, Hélène Luraschi, Pierre Maciejasz, Anne‐France Georgel, Augustin Latourte, Hang‐Korng Ea, Sébastien Ottaviani, Charlotte Jauffret, Vincent Ducoulombier   +14 more
wiley   +1 more source

List-wise learning to rank biomedical question-answer pairs with deep ranking recursive autoencoders. [PDF]

PLoS One, 2020
Yan Y, Zhang BW, Li XF, Liu Z.
europepmc   +1 more source

Learning Sparsity and Randomness for Data-driven Low Rank Approximation [PDF]

, 2022
Tiejin Chen, Yicheng Tao
openalex   +1 more source

Metric Learning to Rank

, 2010
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that rankings of data induced by dis- tance from a query can be optimized against various ranking measures, such as AUC, Precision-at-k, MRR, MAP or NDCG.
Mcfee, Brian, Lanckriet, Gert
openaire   +1 more source