Search Results - "Binary Classification Problem"
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Authors: et al.
Source: Proceedings of the Genetic and Evolutionary Computation Conference. :358-366
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Authors: et al.
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Machine Learning (cs.LG)
Access URL: http://arxiv.org/abs/2503.17581
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Authors:
Source: Journal of Applied Statistics. 51:2279-2297
Access URL: https://pubmed.ncbi.nlm.nih.gov/39267712
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Authors: L. I. Safina
Source: Lobachevskii Journal of Mathematics. 44:747-756
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Authors: Xu, Qinwu
Index Terms: Computer Science - Machine Learning, text
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Hyperbolic regression: a new regression model with applications to the binary classification problem
Authors: Vinicius Layter Xavier
Source: Information Sciences. 609:15-25
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Authors: et al.
Source: Proceedings of the Genetic and Evolutionary Computation Conference. :1272-1280
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Authors: Pablo Martínez-Camblor
Source: Journal of Statistical Computation and Simulation. 92:2846-2861
Subject Terms: 0101 mathematics, 01 natural sciences
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Authors: et al.
Source: 2021 International Seminar on Machine Learning, Optimization, and Data Science (ISMODE). :152-156
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Authors:
Source: Journal of Climate, 2012 Jul . 25(14), 5057-5071.
Access URL: https://www.jstor.org/stable/26192051
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Authors:
Source: 2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS). :448-452
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Authors: GEVORG GHALACHYAN
Source: Scientific Artsakh. :183-191
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Authors: et al.
Source: Lecture Notes in Networks and Systems ISBN: 9783031425189
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Authors: Oleksandr PISKUN
Source: CHERKASY UNIVERSITY BULLETIN: APPLIED MATHEMATICS. INFORMATICS. :86-95
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Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data
Authors: et al.
Source: IEEE Access, Vol 7, Pp 24649-24666 (2019)
Subject Terms: Imbalanced dataset, binary class, minority class, 0202 electrical engineering, electronic engineering, information engineering, majority class, class distribution, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, imbalance ratio, TK1-9971, 3. Good health
Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08651567.pdf
https://doaj.org/article/2669390714604dc0a47e0e9234b8131b
https://repository.uel.ac.uk/item/8449v
https://ieeexplore.ieee.org/abstract/document/8651567
https://researchers.cdu.edu.au/en/publications/variance-ranking-attributes-selection-techniques-for-binary -class
https://dblp.uni-trier.de/db/journals/access/access7.html#EbenuwaSAA19 -
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Authors: et al.
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Authors:
Source: Principles and Labs for Deep Learning ISBN: 9780323901987
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Authors:
Source: Operations Research and Decisions, Vol vol. 30, Iss no. 1, Pp 119-130 (2020)
Subject Terms: Management. Industrial management, HD28-70, Economic growth, development, planning, HD72-88
File Description: electronic resource
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Source: МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ. 8:25-26
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