AML-SVM: Adaptive Multilevel Learning with Support Vector Machines [PDF]
2020 IEEE International Conference on Big Data (Big Data), 2020 10 pages, 5 tables, 3 figures, IEEE BigData ...
Ehsan Sadrfaridpour +2 more
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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
SENTIMEN ANALISIS KELUHAN PELANGGAN MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) [PDF]
, 2023 Analisis sentimen adalah proses menganalisis tulisan menggunakan teknik analisis teks untuk menentukan emosi dari penulisnya. Analisis sentimen dapat dimanfaatkan untuk melakukan evaluasi dan menunjukan tingkat kepuasan pelanggan suatu perusahaan ...
Wibowo, Tediyan Rahmat
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European Journal of Remote Sensing, 2021 The data classification of fully polarimetric synthetic aperture radar (PolSAR) is one of the favourite topics in the remote sensing community. To date, a wide variety of algorithms have been utilized for PolSAR data classification, and among them kernel
Iman Khosravi +3 more
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Biased support vector machine and weighted-smote in handling class imbalance problem
IJAIN (International Journal of Advances in Intelligent Informatics), 2018 Class imbalance occurs when instances in a class are much higher than in other classes. This machine learning major problem can affect the predicted accuracy.
Hartono Hartono +3 more
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Machine learning in the estimation of CRISPR-Cas9 cleavage sites for plant system
Frontiers in Genetics, 2023 CRISPR-Cas9 system is one of the recent most used genome editing techniques. Despite having a high capacity to alter the precise target genes and genomic regions that the planned guide RNA (or sgRNA) complements, the off-target effect still exists.
Jutan Das +5 more
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Klasifikasi Penyakit Daun Bayam Dengan Menggunakan Metode Support Vector Machine (SVM) [PDF]
, 2023 The classification of leaf diseases in amaranth plants provides a promising step towards sustainable food security in agriculture. Production Costs can also be significantly increased if plant diseases are not detected and cured in the early stages ...
parawati, Nunung
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Indonesian Stock Prediction using Support Vector Machine (SVM)
MATEC Web of Conferences, 2018 This project is part of developing software to provide predictive information technology-based services artificial intelligence (Machine Intelligence) or Machine Learning that will be utilized in the money market community.
Santoso Murtiyanto +2 more
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Data-Driven Diagnosis of Cervical Cancer With Support Vector Machine-Based Approaches
IEEE Access, 2017 Cervical cancer, as the fourth most common cause of death from cancer among women, has no symptoms in the early stage. There are few methods to diagnose cervical cancer precisely at present.
Wen Wu, Hao Zhou
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Crop Classification of Worldview-2 Time Series using Support Vector Machine (SVM) and Random Forest (RF) [PDF]
, 2018 Land cover mapping using high dimensional data is a common task in remote sensing. Random Forest (RF) and Support Vector Machine (SVM) are often reported in the literature as efficient classifiers for land cover mapping, particularly, in dealing with ...
Zafari, A.
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