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Contextualizing Support Vector Machine Predictions [PDF]
International Journal of Computational Intelligence Systems, 2020 Classification in artificial intelligence is usually understood as a process whereby several objects are evaluated to predict the class(es) those objects belong to.
Marcelo Loor, Guy De Tré
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Global-local least-squares support vector machine (GLocal-LS-SVM).
PLoS ONE, 2023 This study introduces the global-local least-squares support vector machine (GLocal-LS-SVM), a novel machine learning algorithm that combines the strengths of localised and global learning.
Ahmed Youssef Ali Amer
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Efficient heart disease diagnosis based on twin support vector machine
Diagnostyka, 2021 Heart disease is the leading cause of death in the world according to the World Health Organization (WHO). Researchers are more interested in using machine learning techniques to help medical staff diagnose or detect heart disease early.
Youcef Brik +2 more
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Binarized Support Vector Machines [PDF]
INFORMS Journal on Computing, 2010 The widely used support vector machine (SVM) method has shown to yield very good results in supervised classification problems. Other methods such as classification trees have become more popular among practitioners than SVM thanks to their interpretability, which is an important issue in data mining.In this work, we propose an SVM-based method that ...
Carrizosa, Emilio +2 more
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Support Vector Machine For Hoax Detection
SINTECH (Science and Information Technology) Journal, 2023 Along with the development of information technology, news media has also developed by presenting information online Along with the rapid development of online news, the spread of fake news information (hoaxes) is also increasing rapidly and widely ...
Ni Wayan Sumartini Saraswati +3 more
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On Coresets for Support Vector Machines [PDF]
Theoretical Computer Science, 2020 We present an efficient coreset construction algorithm for large-scale Support Vector Machine (SVM) training in Big Data and streaming applications. A coreset is a small, representative subset of the original data points such that a models trained on the coreset are provably competitive with those trained on the original data set. Since the size of the
Murad Tukan +3 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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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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