Zobrazeno 1 - 10
of 683
pro vyhledávání: '"Fuzzy support vector machine"'
Publikováno v:
Information, Vol 15, Iss 11, p 737 (2024)
Support vector machine (SVM) models apply the Karush–Kuhn–Tucker (KKT-OC) optimality conditions in the ordinary derivative to the primal optimisation problem, which has a major influence on the weights associated with the dissimilarity between th
Externí odkaz:
https://doaj.org/article/ea6e5a76809e4ed6ae49c0600ec426f6
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, we synthesize the differences in grayscale and texture information of phosphorite X-ray images and extract a total of six feature quantities under their grayscale and texture features, respectively. After feature fusion, a fuzzy suppor
Externí odkaz:
https://doaj.org/article/f1c1dd3c8b654f58a9a3035c6d81c066
Publikováno v:
Discover Artificial Intelligence, Vol 3, Iss 1, Pp 1-20 (2023)
Abstract The fuzzy support vector machine (FSVM) assigns each sample a fuzzy membership value based on its relevance, making it less sensitive to noise or outliers in the data. Although FSVM has had some success in avoiding the negative effects of no
Externí odkaz:
https://doaj.org/article/1929a249ef504da892a53fda495b226b
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 4, Pp 36-49 (2023)
Cost-sensitive learning is a popular paradigm to address class-imbalance learning (CIL) problem. Traditional cost-sensitive learning approaches always solve CIL problem by assigning a constant higher training error penalty for all minority instances
Externí odkaz:
https://doaj.org/article/214d332866eb4a0197acdc86b80fb079
Akademický článek
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Autor:
Wiwi Widia Sukeiti, Sugiyarto Surono
Publikováno v:
JTAM (Jurnal Teori dan Aplikasi Matematika), Vol 6, Iss 2, Pp 268-279 (2022)
Support vector machine (SVM) is one of effective biner classification technic with structural risk minimization (SRM) principle. SVM method is known as one of successful method in classification technic. But the real-life data problem lies in the occ
Externí odkaz:
https://doaj.org/article/088c108d16e9405c98d850636a56f2d6
Publikováno v:
IEEE Access, Vol 10, Pp 58589-58602 (2022)
Assessment of Initial Coin Offerings (ICOs) is crucial for investment decisions in the ICO market. Since most ICOs succeed in raising funds, failed ICOs must be discriminated against through intelligent classification methods. In this context, this r
Externí odkaz:
https://doaj.org/article/c95b574e9cf549c1841190ef0d25f83f
Akademický článek
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Publikováno v:
Symmetry, Vol 15, Iss 5, p 1078 (2023)
H.266/VVC introduces the QTMT partitioning structure, building upon the foundation laid by H.265/HEVC, which makes the partitioning more diverse and flexible but also brings huge coding complexity. To better address the problem, we propose a fast CU
Externí odkaz:
https://doaj.org/article/11269b91b2eb40a39f6584816dc01f4c
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2022)
Imbalanced classification is widespread in the fields of medical diagnosis, biomedicine, smart city and Internet of Things. The imbalance of data distribution makes traditional classification methods more biased towards majority classes and ignores t
Externí odkaz:
https://doaj.org/article/e088443f6ca34d4ea4303cd432034809