Results 31 to 40 of about 74,247 (264)
Cascade Support Vector Machines with Dimensionality Reduction
Applied Computational Intelligence and Soft Computing, 2015 Cascade support vector machines have been introduced as extension of classic support vector machines that allow a fast training on large data sets. In this work, we combine cascade support vector machines with dimensionality reduction based preprocessing.
Oliver Kramer
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Coupled Least Squares Support Vector Ensemble Machines
Information, 2019 The least squares support vector method is a popular data-driven modeling method which shows better performance and has been successfully applied in a wide range of applications.
Dickson Keddy Wornyo, Xiang-Jun Shen
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Applied Sciences, 2020 Support vector machines (SVMs) are a well-known classifier due to their superior classification performance. They are defined by a hyperplane, which separates two classes with the largest margin.
Minho Ryu, Kichun Lee
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Damage Diagnosis of Bolt Loosening via Vector Autoregressive - Support Vector Machines
Hittite Journal of Science and Engineering, 2020 Developments in engineering techniques have concentrated on how to build better solutions for engineering structures in order to main the integrity and to reduce the costs in operations.
Mahmut Pekedis
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Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Twin Bounded Weighted Relaxed Support Vector Machines
IEEE Access, 2019 Data distribution has an important role in classification. The problem of imbalanced data has occurred when the distribution of one class, which usually attends more interest, is negligible compared with other class.
Fatemeh Alamdar +2 more
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The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Recent advances on support vector machines research
Technological and Economic Development of Economy, 2012 Support vector machines (SVMs), with their roots in Statistical Learning Theory (SLT) and optimization methods, have become powerful tools for problem solution in machine learning.
Yingjie Tian, Yong Shi, Xiaohui Liu
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Explaining Support Vector Machines: A Color Based Nomogram. [PDF]
PLoS ONE, 2016 PROBLEM SETTING:Support vector machines (SVMs) are very popular tools for classification, regression and other problems. Due to the large choice of kernels they can be applied with, a large variety of data can be analysed using these tools.
Vanya Van Belle +4 more
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Minimal Support Vector Machine
CoRR, 2018 Support Vector Machine (SVM) is an efficient classification approach, which finds a hyperplane to separate data from different classes. This hyperplane is determined by support vectors. In existing SVM formulations, the objective function uses L2 norm or L1 norm on slack variables. The number of support vectors is a measure of generalization errors. In
Shuai Zheng 0002, Chris Ding
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