Results 1 to 10 of about 142,623 (210)

Applications of Support Vector Machine (SVM) Learning in Cancer Genomics. [PDF]

open access: yesCancer Genomics Proteomics, 2018
Machine learning with maximization (support) of separating margin (vector), called support vector machine (SVM) learning, is a powerful classification tool that has been used for cancer genomic classification or subtyping. Today, as advancements in high-throughput technologies lead to production of large amounts of genomic and epigenomic data, the ...
Huang S   +5 more
europepmc   +4 more sources

Multiclass Contour-Preserving Classification with Support Vector Machine (SVM)

open access: yesJournal of Intelligent Systems, 2017
Multiclass contour-preserving classification (MCOV) has been used to preserve the contour of the data set and improve the classification accuracy of a feed-forward neural network.
Fuangkhon Piyabute
doaj   +2 more sources

Penerapan Support Vector Machine (SVM) untuk Pengkategorian Penelitian

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2017
Research every college will continue to grow. Research will be stored in softcopy and hardcopy. The preparation of the research should be categorized in order to facilitate the search for people who need reference.
Fithri Selva Jumeilah
doaj   +3 more sources

A geometric approach to Support Vector Machine (SVM) classification [PDF]

open access: yesIEEE Transactions on Neural Networks, 2006
The geometric framework for the support vector machine (SVM) classification problem provides an intuitive ground for the understanding and the application of geometric optimization algorithms, leading to practical solutions of real world classification problems. In this work, the notion of "reduced convex hull" is employed and supported by a set of new
Mavroforakis, M.E., Theodoridis, S.
openaire   +4 more sources

Research on Bearing Fault Diagnosis Method Based on IPSO-RVM

open access: yesJournal of Harbin University of Science and Technology, 2022
Aiming at the problems of poor classification effect of support vector machine in traditional particle swarm optimization support vector machine and inaccuracy of traditional particle swarm optimization in bearing fault diagnosis, an improved particle ...
ZHANG Han   +4 more
doaj   +1 more source

Optimizable Support Vector Machine (SVM) parameters and performance. [PDF]

open access: yes, 2022
Optimizable Support Vector Machine (SVM) parameters and performance.
Daniel R. Kramer (13989700)   +8 more
core   +1 more source

Hyperspectral Image Classification Based on Non-Parallel Support Vector Machine

open access: yesRemote Sensing, 2022
Support vector machine (SVM) has a good effect in the supervised classification of hyperspectral images. In view of the shortcomings of the existing parallel structure SVM, this article proposes a non-parallel SVM model. Based on the traditional parallel
Guangxin Liu   +4 more
doaj   +1 more source

Menghitung Kendaraan Di Parkiran Dengan Metode Support Vector Machine (SVM) [PDF]

open access: yes, 2022
Support Vector Machine (SVM) merupakan sebuah metode klasifikasi yang digunakan untuk mengklasifikasi data dan bekerja dengan cara mendefinisikan batas antara dua kelas dengan jarak maksimal dari data yang terdekat. Untuk mendapatkan batas maksimal antar
Muhammad Zainal   +6 more
core   +2 more sources

Firefly-SVM predictive model for breast cancer subgroup classification with clinicopathological parameters

open access: yesDigital Health, 2023
Background Breast cancer is a highly predominant destructive disease among women characterised with varied tumour biology, molecular subgroups and diverse clinicopathological specifications.
Suvobrata Sarkar, Kalyani Mali
doaj   +1 more source

Face Mask Wearing Detection Using Support Vector Machine (SVM)

open access: yesIJID (International Journal on Informatics for Development), 2021
As an effort to prevent the spread of the Covid-19, various countries have implemented health protocol policies such as work-from-home, social distancing, and face mask-wearing in public places.
Muhammad Nur Yasir Utomo, Fajrin Violita
doaj   +1 more source

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