Suchergebnisse - "Gradient boosting models"

A comprehensive benchmark of machine and deep learning models on structured data for regression and classification

Autoren: Shmuel, Assaf Glickman, Oren Lazebnik, Teddy

Quelle: Neurocomputing. 655

Schlagwörter: Benchmark, Deep learning, Gradient boosting models, Adaptive boosting, Classification (of information), Learning systems, Excel, Gradient boosting, Gradient boosting model, Learning models, Machine-learning, Real-world, Scientific researches, Structured data, article, benchmarking, classification, filtration, machine learning, major clinical study

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-69810
https://doi.org/10.1016/j.neucom.2025.131337

Personalized Smart Home Automation Using Machine Learning: Predicting User Activities

Autoren: Mark M. Gad Walaa Gad Tamer Abdelkader et al.

Quelle: Sensors, Vol 25, Iss 19, p 6082 (2025)

Schlagwörter: smart home automation, machine learning, human activity recognition, edge computing, intelligent environments, gradient boosting models, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/19/6082; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/64eb22aa93fc4a04bd5503a0722f6472

A hierarchical reserving model for reported non-life insurance claims

Autoren: Crevecoeur, Jonas Robben, Jens Antonio, Katrien

Weitere Verfasser: Crevecoeur, Jonas Robben, Jens Antonio, Katrien

Quelle: Insurance: Mathematics and Economics. 104:158-184

Schlagwörter: Mathematics, Interdisciplinary Applications, Covariate shift, Economics, PREDICTION, Statistics & Probability, 38 Economics, Social Sciences, AGGREGATE, 01 natural sciences, Moving window evaluation, FOS: Economics and business, [STAT.AP] Statistics [stat]/Applications [stat.AP], Business & Economics, 35 Commerce, management, tourism and services, gradient boosting models, 0101 mathematics, moving window evaluation, 01 Mathematical Sciences, 14 Economics, Science & Technology, 15 Commerce, Management, Tourism and Services, individual claims reserving, Individual claims reserving, Social Sciences, Mathematical Methods, model and variable selection, Model and variable selection, covariate shift, Risk Management (q-fin.RM), Physical Sciences, Simulation machine, 49 Mathematical sciences, Mathematics, Mathematical Methods In Social Sciences, Quantitative Finance - Risk Management

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/pdf/1910.12692
http://arxiv.org/abs/1910.12692
https://hal.science/hal-04015725v1
https://doi.org/10.1016/j.insmatheco.2022.02.005
https://hal.science/hal-04015725v1/document

Machine and Deep Learning Models for Hypoxemia Severity Triage in CBRNE Emergencies

Autoren: Santino Nanini Mariem Abid Yassir Mamouni et al.

Quelle: Diagnostics ; Volume 14 ; Issue 23 ; Pages: 2763

Schlagwörter: hypoxemia, machine learning, patient triage, disaster management, CBRNE events, VIMY Multi-System, gradient boosting models, NEWS2+, data preprocessing, feature importance, LSTM, GRU, time series interpolation, deep learning, imputation, interpolation, sliding window, masks, early warning scores, EWS, artificial intelligence, XGBoost, CatBoost, LightGBM, random forest, Tree-based models, voting classifier ensemble, MIMIC-III, MIMIC-IV

Dateibeschreibung: application/pdf

Relation: Machine Learning and Artificial Intelligence in Diagnostics; https://dx.doi.org/10.3390/diagnostics14232763

Verfügbarkeit: https://doi.org/10.3390/diagnostics14232763

Transfer learning-enhanced gradient boosting models for wildfire detection using UAV imagery

Autoren: Pirunthavi Wijikumar Shouthiri Partheepan Jahan Hassan et al.

Schlagwörter: Machine learning not elsewhere classified, Gradient boosting models, Hyperparameter optimization, Machine learning, Transfer learning, UAV, Wildfire detection

Relation: 10779/cqu.29434418.v1

Verfügbarkeit: https://figshare.com/articles/conference_contribution/Transfer_learning-enhanced_gradient_boosting_models_for_wildfire_detection_using_UAV_imagery/29434418

Wealth mobility in the United States : empirical evidence from the PSID

Autoren: Van Langenhove, Christophe

Quelle: Working Papers of Faculty of Economics and Business Administration, Ghent University

Schlagwörter: Business and Economics, wealth mobility, wealth inequality, inter-generational wealth transmission, lifecycle dynamics, intra-generational wealth mobility, machine learning, hierarchical clustering, gradient-boosting models

Dateibeschreibung: application/pdf

Relation: https://biblio.ugent.be/publication/01K360Z9BSKPF4RK9KW0HE7G1A; https://doi.org/10.2139/ssrn.5119173; https://biblio.ugent.be/publication/01K360Z9BSKPF4RK9KW0HE7G1A/file/01K3615HZPE3JM8Q4WND4YJ2JM

Verfügbarkeit: https://biblio.ugent.be/publication/01K360Z9BSKPF4RK9KW0HE7G1A
https://hdl.handle.net/1854/LU-01K360Z9BSKPF4RK9KW0HE7G1A
https://doi.org/10.2139/ssrn.5119173
https://biblio.ugent.be/publication/01K360Z9BSKPF4RK9KW0HE7G1A/file/01K3615HZPE3JM8Q4WND4YJ2JM

The Role of Soil Salinization in Shaping the Spatio-Temporal Patterns of Soil Organic Carbon Stock

Autoren: Wenli Zhang Wei Zhang Yubing Liu et al.

Quelle: Remote Sensing, Vol 14, Iss 3204, p 3204 (2022)

Schlagwörter: soil salinity, soil organic carbon, machine learning, extreme gradient boosting models, arid inland regions, Science

Relation: https://www.mdpi.com/2072-4292/14/13/3204; https://doaj.org/toc/2072-4292; https://doaj.org/article/f585483529e443f6b908e383ec0574d9

Verfügbarkeit: https://doi.org/10.3390/rs14133204
https://doaj.org/article/f585483529e443f6b908e383ec0574d9

Intersectionality-Informed Sex/Gender-Sensitivity in Public Health Monitoring and Reporting (PHMR): A Case Study Assessing Stratification on an 'Intersectional Gender-Score'

Autoren: Emily, Mena Katharina, Stahlmann Klaus, Telkmann et al.

Quelle: Int J Environ Res Public Health
International Journal of Environmental Research and Public Health
Volume 20
Issue 3
Pages: 2220

Schlagwörter: Male, Employment, hypertension, Intersectional Framework, Adolescent, health reporting, self-rated health, Article, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, 5. Gender equality, health monitoring, Pregnancy, gender, score, Humans, gradient boosting models, 10. No inequality, decision trees, 3. Good health, Cross-Sectional Studies, Female, Public Health, intersectionality, mental health

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36767592

A comprehensive benchmark of machine and deep learning models on structured data for regression and classification

Autoren: Shmuel, A. Glickman, O. Lazebnik, T.

Index Begriffe: Benchmark, Deep learning, Gradient boosting models, Adaptive boosting, Classification (of information), Learning systems, Excel, Gradient boosting, Gradient boosting model, Learning models, Machine-learning, Real-world, Scientific researches, Structured data, article, benchmarking, classification, filtration, machine learning, major clinical study, Computer and Information Sciences, Data- och informationsvetenskap, Article in journal, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-69810
Neurocomputing, 0925-2312, 2025, 655

Patterns of drinking behavior around a treatment episode for alcohol use disorder: Predictions from pre-treatment measures.

Autoren: Witkiewitz K Kirouac M Baurley JW et al.

Quelle: Alcohol, clinical & experimental research [Alcohol Clin Exp Res (Hoboken)] 2023 Nov; Vol. 47 (11), pp. 2138-2148. Date of Electronic Publication: 2023 Sep 15.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Wiley Periodicals Country of Publication: United States NLM ID: 9918609780906676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2993-7175 (Electronic) Linking ISSN: 29937175 NLM ISO Abbreviation: Alcohol Clin Exp Res (Hoboken) Subsets: PubMed not MEDLINE; MEDLINE

MrIML: Multi-response interpretable machine learning to model genomic landscapes.

Autoren: Fountain-Jones NM Kozakiewicz CP Forester BR et al.

Quelle: Molecular ecology resources [Mol Ecol Resour] 2021 Nov; Vol. 21 (8), pp. 2766-2781. Date of Electronic Publication: 2021 Sep 06.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Blackwell Country of Publication: England NLM ID: 101465604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1755-0998 (Electronic) Linking ISSN: 1755098X NLM ISO Abbreviation: Mol Ecol Resour Subsets: MEDLINE

MeSH-Schlagworte: Lynx* , Populus*, Adaptation, Physiological ; Animals ; Genomics ; Machine Learning

How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure.

Autoren: Fountain-Jones NM Machado G Carver S et al.

Quelle: The Journal of animal ecology [J Anim Ecol] 2019 Oct; Vol. 88 (10), pp. 1447-1461. Date of Electronic Publication: 2019 Aug 19.

Publikationsart: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.

Info zur Zeitschrift: Publisher: Blackwell Country of Publication: England NLM ID: 0376574 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2656 (Electronic) Linking ISSN: 00218790 NLM ISO Abbreviation: J Anim Ecol Subsets: MEDLINE

MeSH-Schlagworte: Distemper Virus, Canine* , Lions*, Animals ; Animals, Wild ; Ecology ; Machine Learning