Suchergebnisse - "Active Learning algorithm"
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Autoren: et al.
Quelle: Big Data Mining and Analytics. 8:1060-1074
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Autoren: Xiaodan Luo
Quelle: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783032003027
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Autoren:
Quelle: Lecture Notes in Computer Science ISBN: 9783032026019
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Energetic Materials Frontiers, Vol 6, Iss 1, Pp 3-13 (2025)
Schlagwörter: Active learning, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Materials design, Chemical technology, Thermite, Intelligent sampling, TP1-1185, [SPI.MAT] Engineering Sciences [physics]/Materials, Gaussian process, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Performance optimization, [SPI.MAT]Engineering Sciences [physics]/Materials
Dateibeschreibung: application/pdf
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Autoren: Te Zhao
Quelle: 2024 5th International Conference on Computers and Artificial Intelligence Technology (CAIT). :320-325
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Autoren:
Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-12 (2025)
Schlagwörter: Active learning, Decision Trees, User Cold Start, Recommender Systems, Medicine, Science
Dateibeschreibung: electronic resource
Relation: https://doaj.org/toc/2045-2322
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Autoren: et al.
Quelle: SAE Technical Paper Series. 1
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Autoren:
Quelle: Advances in Engineering Research ISBN: 9789464637274
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Autoren: et al.
Quelle: Machine Learning. 113:753-788
Schlagwörter: FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Mathematics - Statistics Theory, Statistics Theory (math.ST), 02 engineering and technology, 0101 mathematics, 01 natural sciences
Zugangs-URL: http://arxiv.org/abs/2208.14682
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Autoren: et al.
Quelle: Front Plant Sci
Frontiers in Plant Science, Vol 15 (2025)Schlagwörter: 2DCOS, active learning, Plant culture, PROSAIL-5B, Plant Science, 2T2DCOS, phosphorus uptake, SB1-1110
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Quelle: Cherepovets State University Bulletin. :39-51
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Autoren: et al.
Quelle: International Journal of Ophthalmology, Vol 16, Iss 7, Pp 995-1004 (2023)
Schlagwörter: Ophthalmology, active learning, high myopic maculopathy, deep learning, RE1-994, image classification, alfa-mix algorithm
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Autoren: et al.
Quelle: Applied Intelligence. 53:27844-27864
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Autoren: Ming Yin
Quelle: 2023 World Conference on Communication & Computing (WCONF). :1-6
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Autoren:
Quelle: Intelligent Data Analysis. 27:199-222
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Autoren:
Quelle: IEEE Access, Vol 11, Pp 60398-60406 (2023)
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Autoren:
Quelle: 2022 IEEE Information Theory Workshop (ITW). :594-599
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, Machine Learning (cs.LG)
Zugangs-URL: http://arxiv.org/abs/2110.14341
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Autoren: et al.
Quelle: 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON). :1-3
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Autoren:
Quelle: 2022 6th International Conference on Electronics, Communication and Aerospace Technology. :1041-1044
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