Results 11 to 20 of about 725,482 (185)
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Contextualizing Support Vector Machine Predictions
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
doaj +1 more source
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
doaj +1 more source
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Solving Support Vector Machine with Many Examples
Journal of Telecommunications and Information Technology, 2023 Various methods of dealing with linear support vector machine (SVM) problems with a large number of examples are presented and compared. The author believes that some interesting conclusions from this critical analysis applies to many new optimization ...
Paweł Białoń
doaj +1 more source
Quantum-Enhanced Support Vector Machine for Sentiment Classification
IEEE Access, 2023 Quantum computers have potential computational abilities such as speeding up complex computations, parallelism by superpositions, and handling large data sets. Moreover, the field of natural language processing (NLP) is rapidly attracting researchers and
Fariska Zakhralativa Ruskanda +4 more
doaj +1 more source