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Support Vector Machines in R [PDF]
Journal of Statistical Software, 2006 Being among the most popular and efficient classification and regression methods currently available, implementations of support vector machines exist in almost every popular programming language.
Alexandros Karatzoglou +2 more
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Deep Features for Training Support Vector Machines [PDF]
Journal of Imaging, 2021 Features play a crucial role in computer vision. Initially designed to detect salient elements by means of handcrafted algorithms, features now are often learned using different layers in convolutional neural networks (CNNs).
Loris Nanni +2 more
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Robust Classification via Support Vector Machines
Risks, 2022 Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to data uncertainty has raised great interest in the machine learning literature.
Alexandru V. Asimit +4 more
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Support vector machines and kernels for computational biology. [PDF]
PLoS Computational Biology, 2008 Asa Ben-Hur +4 more
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Support Vector Machines with Quantum State Discrimination
Quantum Reports, 2021 We analyze possible connections between quantum-inspired classifications and support vector machines. Quantum state discrimination and optimal quantum measurement are useful tools for classification problems.
Roberto Leporini, Davide Pastorello
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Support Vector Machines for Predicting Electrical Faults [PDF]
Engineering and Technology Journal, 2014 Support vector machines (SVMs) are a non-probabilistic binary linear classifier in machine learning techniques and are supervised learning algorithms that classify, predict, recognise and analyse patterns.
Tarik Rashid, Salar J. Abdulhameed
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IET Systems Biology, 2023 Background Meningiomas are common primary brain tumours, with macrophages playing a crucial role in their development and progression. This study aims to identify module genes correlated with meningioma‐associated macrophages and analyse their ...
Xiaowei Zhang
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Directional Support Vector Machines
Applied Sciences, 2019 Several phenomena are represented by directional—angular or periodic—data; from time references on the calendar to geographical coordinates.
Diogo Pernes +2 more
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Quantum Support Vector Machines for Aerodynamic Classification
Intelligent Computing, 2023 Aerodynamics plays an important role in the aviation industry and aircraft design. Detecting and minimizing the phenomenon of flow separation from scattered pressure data on the airfoil is critical for ensuring stable and efficient aviation.
Xi-Jun Yuan +7 more
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On Subsampling Procedures for Support Vector Machines
Mathematics, 2022 Herein, theoretical results are presented to provide insights into the effectiveness of subsampling methods in reducing the amount of instances required in the training stage when applying support vector machines (SVMs) for classification in big data ...
Roberto Bárcenas +3 more
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