Results 31 to 40 of about 442,254 (313)
Comparative Analysis of SVM, XGBoost and Neural Network on Hate Speech Classification
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 In social media, it is found that hate speech is conveyed in the form of text, images and videos, as a result it can provoke certain people to do things that are against the law and harm other person. Therefore, it is necessary to make early detection of
Suwarno Liang
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Criticality and the Onset of Ordering in the Standard Vicsek Model [PDF]
, 2012 Experimental observations of animal collective behavior have shown stunning evidence for the emergence of large-scale cooperative phenomena resembling phase transitions in physical systems.
Albano, Ezequiel V. +2 more
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Sensors, 2020 Global Navigation Satellite System (GNSS) meaconing and spoofing are being considered as the key threats to the Safety-of-Life (SoL) applications that mostly rely upon the use of open service (OS) signals without signal or data-level protection. While a
Silvio Semanjski +3 more
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Cybernetics and Information Technologies, 2023 Age estimation from face images is one of the significant topics in the field of machine vision, which is of great interest to controlling age access and targeted marketing.
Al-Dujaili Mohammed Jawad +1 more
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SVM and SVM Ensembles in Breast Cancer Prediction
PLOS ONE, 2017 Breast cancer is an all too common disease in women, making how to effectively predict it an active research problem. A number of statistical and machine learning techniques have been employed to develop various breast cancer prediction models. Among them, support vector machines (SVM) have been shown to outperform many related techniques. To construct
Min-Wei Huang +4 more
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Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization [PDF]
, 2013 We introduce a proximal version of the stochastic dual coordinate ascent method and show how to accelerate the method using an inner-outer iteration procedure. We analyze the runtime of the framework and obtain rates that improve state-of-the-art results
Shalev-Shwartz, Shai, Zhang, Tong
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GIScience & Remote Sensing, 2021 In the Grassland Natural Region (GNR) of southern Alberta, wetlands are relatively small-sized disconnected prairie pothole marshes, swamps, and shallow open water habitats often surrounded by grasslands, parkland forests, agricultural lands, and urban ...
Alex Okiemute Onojeghuo +4 more
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Enhancing Missing Data Imputation for Migrants Data: A Neutrosophic Set-Based Machine Learning Approach [PDF]
Neutrosophic Sets and SystemsThis study tackles the problem of missing data in migrant datasets by introducing a new framework that combines machine learning techniques with neutrosophic sets.
Doaa A. Abdo +3 more
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Hepatitis C Disease Detection Based on PCA–SVM Model
Hittite Journal of Science and Engineering, 2022 Hepatitis C is a liver disease caused by infection with the hepatitis C virus (HCV), which is transmitted through the blood. The disease can lead to diseases ranging from a mild form to serious lifelong illness.
Serdar Gündoğdu
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, 2016 In this paper we promote the use of Support Vector Machines (SVM) as a machine learning tool for searches in high-energy physics. As an example for a new- physics search we discuss the popular case of Supersymmetry at the Large Hadron Collider.
Krücker, Dirk +2 more
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