المؤلفون: Jamieson, Kathleen, Lupia, Arthur, Amaya, Ashley, Brady, Henry, Bautista, René, Clinton, Joshua, Dever, Jill, Dutwin, David, Goroff, Daniel, Hillygus, D, Kennedy, Courtney, Langer, Gary, Lapinski, John, Link, Michael, Philpot, Tasha, Prewitt, Ken, Rivers, Doug, Vavreck, Lynn, Wilson, David, McNutt, Marcia

المصدر: PNAS Nexus. 2(3)

مصطلحات موضوعية: scientific integrity, survey research, weighting of data

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/0d26b081

المؤلفون: Quoc Nguyen, Tomoaki Shikina, Daichi Teruya, Seiji Hotta, Huy-Dung Han, Hironori Nakajo

المصدر: Applied Sciences, Vol 11, Iss 22, p 11040 (2021)

مصطلحات موضوعية: prior knowledge, noise datasets, label noise, weighting training data, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/11/22/11040; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/10b06feac2404b61b1fc2aab9d800a26

المؤلفون: Bucher, Hannah, Roßmann, Joss

مصطلحات موضوعية: Survey Research, Social and Behavioral Sciences, Survey Methodology, Weighting Survey Data

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::22a45586af19875382a6c7de966589cc

المؤلفون: GÜLER, Abdulkerim, BİRCAN, Hüdaverdi, BABACAN, Adem

المصدر: Volume: 20, Issue: 2 99-118
Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi

مصطلحات موضوعية: Sağlık Hizmetleri,Etkinlik,Kriter Ağırlıklandırma Yöntemi,Veri Zarflama Analizi, Social, Health Services,Effectiveness,Criterion Weighting Method,Data Envelopment Analysis, Sosyal

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::0a90d9f7dbc9c7d64cd2a75a78cbcfa6
https://dergipark.org.tr/tr/pub/cbayarsos/issue/70520/1053812

المؤلفون: Seiji Hotta, Daichi Teruya, Tomoaki Shikina, Huy-Dung Han, Hironori Nakajo, Quoc Huy Nguyen

المصدر: Applied Sciences; Volume 11; Issue 22; Pages: 11040
Applied Sciences, Vol 11, Iss 11040, p 11040 (2021)

مصطلحات موضوعية: Technology, prior knowledge, noise datasets, label noise, weighting training data, QH301-705.5, Computer science, QC1-999, Machine learning, computer.software_genre, Noise control, General Materials Science, Biology (General), Noise level, QD1-999, Instrumentation, Fluid Flow and Transfer Processes, Training set, Contextual image classification, business.industry, Physics, Process Chemistry and Technology, General Engineering, Training (meteorology), Engineering (General). Civil engineering (General), Computer Science Applications, Chemistry, Noise, Learning methods, Artificial intelligence, TA1-2040, Gradient descent, business, computer

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ccd2cb9d6514a9d02041e82f40af1ed

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المؤلفون: Zhixin Zhang, Hui Zhang, Stefano Mammola

المصدر: Science of the total environment 741 (2020). doi:10.1016/j.scitotenv.2020.140393
info:cnr-pdr/source/autori:Zhang, Zhixin; Mammola, Stefano; Zhang, Hui/titolo:Does weighting presence records improve the performance of species distribution models? A test using fish larval stages in the Yangtze Estuary/doi:10.1016%2Fj.scitotenv.2020.140393/rivista:Science of the total environment/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:741

مصطلحات موضوعية: China, Environmental Engineering, 010504 meteorology & atmospheric sciences, Range (biology), Population Dynamics, Species distribution, Climate change, 010501 environmental sciences, 01 natural sciences, Engraulis, Weighting distribution data, Species distribution modelling, Animals, Environmental Chemistry, Waste Management and Disposal, Ecosystem, 0105 earth and related environmental sciences, geography, geography.geographical_feature_category, biology, Fishes, Estuary, Ichthyoplankton, biology.organism_classification, Pollution, Environmental niche modelling, The Yangtze Estuary, Habitat, Larva, Habitat suitability, Environmental science, Physical geography, Estuaries, Dominant ichthyoplankton

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a31ed94dedac5c30076e7852136241b1
https://doi.org/10.1016/j.scitotenv.2020.140393

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المؤلفون: Mateusz Najsztub, Michal Myck

المصدر: Scopus-Elsevier

مصطلحات موضوعية: Official statistics, Computer science, jel:D63, Microsimulation, jel:D31, microsimulation, re-weighting, household data analysis, Representativeness heuristic, Cross-validation, Economic inequality, Income distribution, jel:I38, Economics, Econometrics, Survey data collection, Aggregate data, re-weighting, microsimulation, income inequality, Baseline (configuration management)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75a65cc4b6ae635f4eb02b1deec86ef1
https://doi.org/10.34196/ijm.00111