Results 11 to 20 of about 303,008 (292)
Parallel Support Vector Machine Algorithm Based on Clustering and WOA [PDF]
Jisuanji kexue, 2022 Aiming at the problems of parallel support vector machine(SVM) being sensitive to redundant data,poor parameter optimization ability and load imbalance in parallel process in the big data environment,a parallel support vector machine algorithm—MR-KWSVM ...
LIU Wei-ming, AN Ran, MAO Yi-min
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Complexity, 2021 The safety problem of the slope has always been an important subject in engineering geology, which has a wide range of application background and practical significance in reality.
Fei Li, Hongyun Zhang
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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
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Transport, 2011 A support vector machine is a machine learning method based on the statistical learning theory and structural risk minimization. The support vector machine is a much better method than ever, because it may solve some actual problems in small samples ...
Yanrong Hu, Chong Wu, Hongjiu Liu
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Review on support vector machine (SVM) classifier for human emotion pattern recognition from EEG signals [PDF]
, 2015 This study reviewed the strategy in pattern classification for human emotion recognition system based on Support Vector Machine (SVM) classifier on Electroencephalography (EEG) signal.
Ahmad, Siti Anom +3 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
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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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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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Multiclass Contour-Preserving Classification with Support Vector Machine (SVM)
Journal 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
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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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