Results 1 to 10 of about 823,383 (284)
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
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 ...
Romero Morales, Dolores +2 more
openaire +7 more sources
Safe transductive support vector machine
Connection Science, 2022 Since semi-supervised learning can use fewer labelled samples to train a better model, semi-supervised methods are becoming popular in data mining. As an important algorithm of semi-supervised support vector machines (S $ ^{3} $ VM), transductive support
Haiyan Chen +3 more
doaj +1 more source
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
openaire +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
Wavelet Support Vector Machine [PDF]
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2004 An admissible support vector (SV) kernel (the wavelet kernel), by which we can construct a wavelet support vector machine (SVM), is presented. The wavelet kernel is a kind of multidimensional wavelet function that can approximate arbitrary nonlinear functions. The existence of wavelet kernels is proven by results of theoretic analysis.
Li, Zhang, Weida, Zhou, Licheng, Jiao
openaire +2 more sources
Semismooth support vector machines [PDF]
Mathematical Programming, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ferris, Michael C., Munson, Todd S.
openaire +1 more source
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
openaire +6 more sources