Results 31 to 40 of about 3,352,860 (301)

About Combining Metric Learning and Prototype Generation [PDF]

, 2014
Distance metric learning has been a major research topic in recent times. Usually, the problem is formulated as finding a Mahalanobis-like metric matrix that satisfies a set of constraints as much as possible. Different ways to introduce these constraints and to effectively formulate and solve the optimization problem have been proposed.
Adrián Pérez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez, Jesús V. Albert   +3 more
openaire   +1 more source

An Opportunistic Routing Mechanism Combined with Long-Term and Short-Term Metrics for WMN

The Scientific World Journal, 2014
WMN (wireless mesh network) is a useful wireless multihop network with tremendous research value. The routing strategy decides the performance of network and the quality of transmission.
Weifeng Sun, Haotian Wang, Xianglan Piao, Tie Qiu   +3 more
doaj   +1 more source

A Combined-Learning Based Framework for Improved Software Fault Prediction

International Journal of Computational Intelligence Systems, 2017
Software Fault Prediction (SFP) is found to be vital to predict the fault-proneness of software modules, which allows software engineers to focus development activities on fault-prone modules, thereby prioritize and optimize tests, improve software ...
Chubato Wondaferaw Yohannese, Tianrui Li
doaj   +1 more source

Better Metrics to Automatically Predict the Quality of a Text Summary

Algorithms, 2012
In this paper we demonstrate a family of metrics for estimating the quality of a text summary relative to one or more human-generated summaries. The improved metrics are based on features automatically computed from the summaries to measure content and ...
Judith D. Schlesinger, John M. Conroy, Peter A. Rankel   +2 more
doaj   +1 more source

Mulr4FL: Effective Fault Localization of Evolution Software Based on Multivariate Logistic Regression Model

IEEE Access, 2020
Fault localization is indeed tedious and costly work during software maintenance. Studies indicate that combining both structural features and behavior characteristics of programs can be beneficial for improving the efficiency of fault locating.
Xiaolin Ju, Jie Qian, Zhihua Chen, Chunyu Zhao, Junyan Qian   +4 more
doaj   +1 more source

The Focus On Noise Metrics In The Sustainable Planning Of Airport Environments: An Argentinian Case Study

South Sustainability, 2022
Successful airport noise management is based on the effective description and communication of aircraft noise exposure, which can be expressed through a number of noise metrics. The choice of metric is significant, given that noise maps are likely to be
Julieta Longo, Lucas Vanoli, Lucia Movsesian, Flachek Santiago, Alberto Ferral   +4 more
doaj   +1 more source

Evidence‐Informed Multidisciplinary Consensus Guidance for the Psychosocial Care of Adolescents With High‐Risk Cancer: Recommendations From the Italian Association of Pediatric Hematology and Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom, Dorella Scarponi, Giulia Zucchetti, Teresa Perillo, Maria Montanaro, Elisa Marconi, Chiara Rutigliano, Paolo Colavero, Paola Quarello, Marina Bertolotti, Monica Cellini, Carlo Clerici, Maurizio Mascarin, Francesca Bomben, Andrea Ferrari, the expert workgroup   +15 more
wiley   +1 more source

Exploring strategies for constructing optimal combined forecasting models for health human resources based on personnel numbers in Anhui Province's healthcare institutions [PDF]

Yixue xinzhi zazhi
Objective To construct and compare various combined forecasting models for health human resources based on personnel number in Anhui Province's healthcare institutions, to explore strategies for developing the optimal combined forecasting model.Methods ...
WANG Yifan, WEI Xinyu, WANG Guoying, SHEN Zhengxian, YIN Qingqing, WANG Bin   +5 more
doaj   +1 more source

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Metric learning aims to learn a highly discriminative model encouraging the embeddings of similar classes to be close in the chosen metrics and pushed apart for dissimilar ones. The common recipe is to use an encoder to extract embeddings and a distance-based loss function to match the representations – usually, the Euclidean distance is utilized.
Ermolov, Aleksandr, Mirvakhabova, Leyla, Khrulkov, Valentin, Sebe, Nicu, Oseledets, Ivan   +4 more
openaire   +5 more sources

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source