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Global-local least-squares support vector machine (GLocal-LS-SVM)
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
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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Safe transductive support vector machine
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
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Binarized Support Vector Machines [PDF]
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
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Contextualizing Support Vector Machine Predictions
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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Support Vector Machine For Hoax Detection
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]
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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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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Overcome Support Vector Machine Diagnosis Overfitting
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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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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