Results 41 to 50 of about 1,480,093 (371)
Support vector machine classification of streptavidin-binding aptamers. [PDF]
PLoS ONE, 2014 BACKGROUND:Synthesizing and characterizing aptamers with high affinity and specificity have been extensively carried out for analytical and biomedical applications.
Xinliang Yu, Yixiong Yu, Qun Zeng
doaj +1 more source
IEEE Access, 2018 Intrusion detection is a fundamental part of security tools, such as adaptive security appliances, intrusion detection systems, intrusion prevention systems, and firewalls.
I. Ahmad +3 more
semanticscholar +1 more source
Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): an algorithm for joint optimization of discrimination and calibration. [PDF]
, 2012 Historically, probabilistic models for decision support have focused on discrimination, e.g., minimizing the ranking error of predicted outcomes. Unfortunately, these models ignore another important aspect, calibration, which indicates the magnitude of ...
Jiang, Xiaoqian +4 more
core +2 more sources
Vector machine techniques for modeling of seismic liquefaction data
Ain Shams Engineering Journal, 2014 This article employs three soft computing techniques, Support Vector Machine (SVM); Least Square Support Vector Machine (LSSVM) and Relevance Vector Machine (RVM), for prediction of liquefaction susceptibility of soil.
Pijush Samui
doaj +1 more source
Hierarchical linear support vector machine [PDF]
, 2012 This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not
Huerta, Ramón +2 more
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Gaussian Pyramid for Nonlinear Support Vector Machine
Applied Computational Intelligence and Soft Computing, 2022 Support vector machine (SVM) is one of the most efficient machine learning tools, and it is fast, simple to use, reliable, and provides accurate classification results.
Rawan Abo Zidan, George Karraz
doaj +1 more source
Support Vector Machine for Network Intrusion and Cyber-Attack Detection [PDF]
, 2017 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Cyber-security threats are a growing concern in networked environments.
Aparicio-Navarro, Francisco J. +4 more
core +2 more sources
$$\nu $$ ν -Improved nonparallel support vector machine
Scientific Reports, 2022 In this paper, a $$\nu $$ ν -improved nonparallel support vector machine ( $$\nu $$ ν -IMNPSVM) is proposed to solve binary classification problems.
Fengmin Sun, Shujun Lian
doaj +1 more source
Machine learning technique for morphological classification of galaxies at z<0.1 from the SDSS
, 2020 Methods. We used different galaxy classification techniques: human labeling, multi-photometry diagrams, Naive Bayes, Logistic Regression, Support Vector Machine, Random Forest, k-Nearest Neighbors, and k-fold validation. Results.
Dobrycheva, D. V. +5 more
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Mean field variational Bayesian inference for support vector machine classification [PDF]
, 2013 A mean field variational Bayes approach to support vector machines (SVMs) using the latent variable representation on Polson & Scott (2012) is presented.
Luts, Jan, Ormerod, John T.
core +2 more sources