Results 101 to 110 of about 823,383 (284)
On robustness properties of convex risk minimization methods for pattern recognition [PDF]
The paper brings together methods from two disciplines: machine learning theory and robust statistics. Robustness properties of machine learning methods based on convex risk minimization are investigated for the problem of pattern recognition ...
Christmann, Andreas, Steinwart, Ingo
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Analisis Sentimen pada Aplikasi Grab di Google Play Store Menggunakan Support Vector Machine [PDF]
, 2021 Rizki Wahyudi, Gilang Kusumawardana
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Advanced Functional Materials, EarlyView.An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu +12 more
wiley +1 more source
Traffic fatalities prediction using support vector machine with hybrid particle swarm optimization
Journal of Algorithms & Computational Technology, 2018 Road traffic safety is essential, therefore in order to predict traffic fatalities effectively and promote the harmonious development of transportation, a traffic fatalities prediction model based on support vector machine is established in this paper ...
Xiaoning Gu +5 more
doaj +1 more source
A Support Vector Machine (SVM) and Speeded Up Robust Features (SURF) for Indonesian Car Licence Plate Identification System [PDF]
, 2017 Volume 7 Issue 10 (October ...
Arnia, F. (Fitri) +2 more
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Advanced Functional Materials, EarlyView.This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Benchmarking least squares support vector machine classifiers. [PDF]
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Baesens, Bart +7 more
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Advanced Functional Materials, EarlyView.Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel +5 more
wiley +1 more source
The Study of Information Security Risk Assessment Based on Support Vector Machine
MATEC Web of Conferences, 2018 This paper establishes an information security evaluation model based on support vector machine by analyzing the factors affecting information security risk assessment.
Xie Haiyan, Wang Ying, Zhang Xianghong
doaj +1 more source
Young Novice Drivers’ Cognitive Distraction Detection: Comparing Support Vector Machines and Random Forest Model of Vehicle Control Behavior [PDF]
, 2023 Qingwan Xue +3 more
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