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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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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
doaj +1 more source
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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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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, 2018 Landslide is a natural hazard that results in many economic damages and human losses every year. Numerous researchers have studied landslide susceptibility mapping (LSM), each attempting to improve the accuracy of the final outputs.
B. Kalantar +4 more
semanticscholar +1 more source
Support vector machine in structural reliability analysis: A review
Reliability Engineering & System Safety, 2023 5 Support vector machine (SVM) is a powerful machine learning technique relying on the 6 structural risk minimization principle. The applications of SVM in structural reliability 7 analysis (SRA) are enormous in the recent past. There are review articles
Atin Roy, S. Chakraborty
semanticscholar +1 more source
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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Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery
Journal of Computer-Aided Molecular Design, 2022 The support vector machine (SVM) algorithm is one of the most widely used machine learning (ML) methods for predicting active compounds and molecular properties. In chemoinformatics and drug discovery, SVM has been a state-of-the-art ML approach for more
Raquel Rodríguez-Pérez, J. Bajorath
semanticscholar +1 more source
Energies, 2018 Daily peak load forecasting is an important part of power load forecasting. The accuracy of its prediction has great influence on the formulation of power generation plan, power grid dispatching, power grid operation and power supply reliability of power
Shuyu Dai, Dongxiao Niu, Yan Li
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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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