Suchergebnisse - "linear regression algorithms"
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Autoren: et al.
Quelle: IEEE Access, Vol 12, Pp 162062-162074 (2024)
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Autoren:
Quelle: INFORMATIKA; Vol 12, No 2 (2024): INFORMATIKA; 162-169 ; Jurnal Informatika; Vol 12, No 2 (2024): INFORMATIKA; 162-169 ; 2615-1855 ; 2303-2863
Schlagwörter: Machine Learning, Linear Regression Algorithms, Stocks, Predicting
Dateibeschreibung: application/pdf
Relation: https://jurnal.ulb.ac.id/index.php/informatika/article/view/5649/4013; https://jurnal.ulb.ac.id/index.php/informatika/article/view/5649
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Autoren:
Quelle: JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer); Vol. 8 No. 1 (2022): JITK Issue August 2022; 10 - 17 ; 2527-4864 ; 2685-8223 ; 10.33480/jitk.v8i1
Schlagwörter: cholesterol disease, prediction, data mining, linear regression algorithms, RMSE
Dateibeschreibung: application/pdf
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: 2016 IEEE Electrical Power and Energy Conference (EPEC). :1-6
Schlagwörter: Artificial intelligence, Neural Networks, Multivariate linear regressions, Heating equipment, Smart grid, Learning algorithms, Random number generation, Smart Grids, E-learning, Heating, Linear regression algorithms, Aggregation, Smart power grids, Linear regression, Supervised machine learning, Energy flexibility, Heating system, Demand response, Learning systems, Agglomeration, Commerce, Network layers, Heating Systems, Electronic trading, Prediction, Machine learning techniques, Regression analysis, Neural networks, Supervised learning, Forecasting
Zugangs-URL: http://ieeexplore.ieee.org/document/7771738/
https://repository.tudelft.nl/view/tno/uuid:22f7225a-90a2-4cf2-96b8-e26a70e86108
https://ieeexplore.ieee.org/document/7771738/
https://orbit.dtu.dk/en/publications/applying-machine-learning-techniques-for-forecasting-flexibility-of-virtual-power-plants(0c3b8b7d-0c8c-4ba8-819c-b288216c6e69).html
https://repository.tno.nl/islandora/object/uuid%3A22f7225a-90a2-4cf2-96b8-e26a70e86108
https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A22f7225a-90a2-4cf2-96b8-e26a70e86108
https://resolver.tno.nl/uuid:22f7225a-90a2-4cf2-96b8-e26a70e86108 -
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Autoren:
Quelle: IEEE Transactions on Automatic Control. 44:994-998
Schlagwörter: undermodeling, 0209 industrial biotechnology, adaptive identification, Identification in stochastic control theory, 0202 electrical engineering, electronic engineering, information engineering, pseudo-linear regression algorithms, stationary disturbance, reduced order model, 02 engineering and technology
Dateibeschreibung: application/xml
Zugangs-URL: http://www-public.tem-tsp.eu/%7Eregalia/personal/articles/ac-may-99.pdf
https://zbmath.org/1518282
https://doi.org/10.1109/9.763215
http://www-public.tem-tsp.eu/~regalia/personal/articles/ac-may-99.pdf
https://dblp.uni-trier.de/db/journals/tac/tac44.html#RegaliaMA99
https://ieeexplore.ieee.org/document/763215/ -
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