Search Results - "Training data sampling"

Dense Sampling of Time Series for Forecasting

Authors: Il-Seok Oh Jin-Seon Lee

Source: IEEE Access, Vol 10, Pp 75571-75580 (2022)

Subject Terms: forecasting problem, 0202 electrical engineering, electronic engineering, information engineering, Deep learning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, time series, training data sampling, LSTM, TK1-9971

Access URL: https://doaj.org/article/70ae4f8bb9aa407698d02aa9e5eef505

Adaptive sampling for active learning with genetic programming

Authors: Sana Ben Hamida Hmida Hmida Marta Rukoz et al.

Source: Cognitive Systems Research. 65:23-39

Subject Terms: Programmation, Active learning, Training data sampling, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Sampling frequency control, 02 engineering and technology, Genetic programming, Adaptive sampling, logiciels, organisation des données

File Description: application/pdf

Access URL: https://www.sciencedirect.com/science/article/am/pii/S1389041720300541
https://dblp.uni-trier.de/db/journals/cogsr/cogsr65.html#HamidaHBR21
https://www.sciencedirect.com/science/article/pii/S1389041720300541

Adaptive sampling for active learning with genetic programming

Authors: Ben Hamida, Sana Hmida, Hmida Borgi, Amel et al.

Subject Terms: Genetic programming, Machine learning, Active learning, Training data sampling, Adaptive sampling, Sampling frequency control, Programmation, logiciels, organisation des données

Time: 005

File Description: application/pdf

Relation: Cognitive Systems Research; 65; 2021-01; 23-39; Elsevier; non; oui; https://basepub.dauphine.psl.eu/handle/123456789/22665

Availability: https://basepub.dauphine.psl.eu/handle/123456789/22665

A machine learning potential construction based on radial distribution function sampling.

Authors: Hori Yuta Sugisawa Hiroki Ida Tomonori et al.

Index Terms: machine learning potential; molecular cluster; quantum chemical calculations; radial distribution function; training data sampling, Journal Article., VoR.

URL: http://hdl.handle.net/2241/0002013360
https://tsukuba.repo.nii.ac.jp/records/2013360
https://doi.org/10.1002/jcc.27497
https://tsukuba.repo.nii.ac.jp/record/2013360/files/JCC_2024-27497.pdf
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A machine learning potential construction based on radial distribution function sampling.

Authors: Watanabe N Hori Y Sugisawa H et al.

Source: Journal of computational chemistry [J Comput Chem] 2024 Dec 15; Vol. 45 (32), pp. 2949-2958. Date of Electronic Publication: 2024 Sep 03.

Publication Type: Journal Article

Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9878362 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-987X (Electronic) Linking ISSN: 01928651 NLM ISO Abbreviation: J Comput Chem Subsets: PubMed not MEDLINE; MEDLINE