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Support Vector Machine
This chapter introduces three classes of Support Vector Machines (SVMs), kernel functions, and a fast learning algorithm—the Sequential Minimum...
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Online Learning Approach Based on Recursive Formulation for Twin Support Vector Machine and Sparse Pinball Twin Support Vector Machine
In this paper, an online approach was proposed for twin support vector machine motivated by online learning algorithms for double-weighted least...
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An improved multi-task least squares twin support vector machine
In recent years, multi-task learning (MTL) has become a popular field in machine learning and has a key role in various domains. Sharing knowledge...
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Safe sample screening for robust twin support vector machine
Twin support vector machine (TSVM) definitely improves computational speed compared with the classical SVM, and has been widely used in...
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SVMCTI: support vector machine based cricket talent ıdentification model
Sports talent recognition is one of the intensively discussed topics in this day and age. Cricket is a sport of keen interest and has fascinated...
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Customized support vector machine for predicting the employability of students pursuing engineering
Higher Education Institutions are always concerned about their students’ employability, so it is ideal to have a mechanism to forecast students’...
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Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane
This study uses fuzzy set theory for least squares support vector machines (LS-SVM) and proposes a novel formulation that is called a fuzzy...
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An Enhanced Semi-Supervised Support Vector Machine Algorithm for Spectral-Spatial Hyperspectral Image Classification
AbstractHyperspectral image classification has become an important issue in remote sensing due to the significant amount of spectral information in...
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Multi-class nonparallel support vector machine
In this paper, we propose an extended version of Nonparallel Support Vector Machine (NPSVM) for multi-classification using one-versus-one-versus-rest...
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RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification
Health is an essential concern for everyone, so it is necessary to facilitate medical services that are easily accessible to everyone. The primary...
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A novel hybrid support vector machine with firebug swarm optimization
In the light of the Industry 4.0 revolution, we find ourselves contending with datasets characterized by a multitude of features, thereby introducing...
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Enhancing lung cancer prediction through crow search, artificial bee colony algorithms, and support vector machine
Lung cancer is one of the leading causes of death worldwide. According to statistics from the World Health Organization (WHO) for the year 2020, lung...
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Functional iterative approach for Universum-based primal twin bounded support vector machine to EEG classification (FUPTBSVM)
Due to the increasing popularity of support vector machine (SVM) and the introduction of Universum, many variants of SVM along with Universum such as...
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A new trigonometric kernel function for support vector machine
In the last few years, various types of machine learning algorithms, such as support vector machine (SVM), support vector regression (SVR), and...
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Moderate embed cross validated and feature reduced Steganalysis using principal component analysis in spatial and transform domain with Support Vector Machine and Support Vector Machine-Particle Swarm Optimization
The fast evolution of Information and Digital technology had given way for internet to be an effective medium for communication. This has also paved...
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Chance constrained conic-segmentation support vector machine with uncertain data
Support vector machines (SVM) is one of the well known supervised machine learning model. The standard SVM models are dealing with the situation...
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Newspaper text recognition in Bengali script using support vector machine
Newspapers contain huge amount of important information on current affairs as well as notable past events. Browsing the digital versions of newspaper...
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An Accelerated Robust Support Vector Machine Algorithm
This chapter proposes an accelerated decomposition algorithm for robust support vector machine (SVM). Robust SVM aims at solving the overfitting...
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Laplacian generalized elastic net Lp-norm nonparallel support vector machine for semi-supervised classification
For semi-supervised learning, a few labeled data and a large number of unlabeled data are used to construct a reasonable classifier. In recent years,...
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Quantum support vector machine for forecasting house energy consumption: a comparative study with deep learning models
The Smart Grid operates autonomously, facilitating the smooth integration of diverse power generation sources into the grid, thereby ensuring a...
