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Tutorial on Support Vector Machines [PDF]
, 2022 Abstract The aim of this tutorial is to help students grasp the theory and applicability of support vector machines (SVMs). The contribution is an intuitive style tutorial that helped students gain insights into SVM from a unique perspective. An internet search will reveal many videos and articles on SVM, but free peer-reviewed tutorials are ...
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Semismooth support vector machines [PDF]
Mathematical Programming, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ferris, Michael C., Munson, Todd S.
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Nested support vector machines [PDF]
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classification problems, respectively. However, the solutions of these SVMs do not necessarily produce set estimates that are nested as the parameters controlling the density level or cost ...
null Gyemin Lee, C. Scott
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Properties of Support Vector Machines [PDF]
Neural Computation, 1998 Support vector machines (SVMs) perform pattern recognition between two point classes by finding a decision surface determined by certain points of the training set, termed support vectors (SV). This surface, which in some feature space of possibly infinite dimension can be regarded as a hyperplane, is obtained from the solution of a problem of ...
PONTIL M, VERRI, ALESSANDRO
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Cauchy: Jurnal Matematika Murni dan Aplikasi, 2021 The curriculum is a plan to form the abilities and character of children based on a standard. One of its form is the division of specialization classes at the high school level.
Stevanny Tamaela +2 more
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Diagnostics, 2023 Improving forecasts, particularly the accuracy, efficiency, and precision of time-series forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of the Coronavirus disease.
Abdul Aziz K Abdul Hamid +9 more
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Overcome Support Vector Machine Diagnosis Overfitting
Cancer Informatics, 2014 Support vector machines (SVMs) are widely employed in molecular diagnosis of disease for their efficiency and robustness. However, there is no previous research to analyze their overfitting in high-dimensional omics data based disease diagnosis, which is
Henry Han, Xiaoqian Jiang
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Faster Support Vector Machines [PDF]
ACM Journal of Experimental Algorithmics, 2019 The time complexity of support vector machines (SVMs) prohibits training on huge datasets with millions of data points. Recently, multilevel approaches to train SVMs have been developed to allow for time-efficient training on huge datasets.
Sebastian Schlag +2 more
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Support vector machine for functional data classification [PDF]
, 2005 In many applications, input data are sampled functions taking their values in infinite dimensional spaces rather than standard vectors. This fact has complex consequences on data analysis algorithms that motivate modifications of them.
Aronszajn +40 more
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Two-Phase Indefinite Kernel Support Vector Machine
Jisuanji kexue yu tansuo, 2020 Recently, indefinite kernel support vector machine (IKSVM) has attracted great attention in the machine learning community as more and more indefinite metric kernel matrices have occurred.
SHI Na, XUE Hui, WANG Yunyun
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