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■ Abbreviation / Long Form : SVR / support vector machine regression

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Total Number of Papers: 33
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Abbreviation:   SVR  (>> Co-occurring Abbreviation)
Long Form:   support vector machine regression
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No. Year Title Co-occurring Abbreviation
2020 An ensemble learning based hybrid model and framework for air pollution forecasting. GBTR, LSTM
2020 Continuous Blood Pressure Estimation From Electrocardiogram and Photoplethysmogram During Arrhythmias. AdaboostR, BP, DBP, DTR, ECG, IBP, PPG, RFR, SBP
2020 Hyperspectral technique combined with deep learning algorithm for detection of compound heavy metals in lettuce. Cd, RMSEP, RPD, SCAE, WT
2020 Micro-NIR spectrometer for quality assessment of tea: Comparison of local and global models. NIR, PSO, SNV
2020 Multi-atlas-based auto-segmentation for prostatic urethra using novel prediction of deformable image registration accuracy. CLD, DIR, IMRT, ML, pCT
2020 Single-beat Measurement of Left Ventricular Contractility in Normothermic Ex Situ Perfused Porcine Hearts. Ees, SVM-RFE
2020 [Remote sensing inversion of surface soil organic matter at jointing stage of winter wheat based on unmanned aerial vehicle multispectral]. MLR, PLSR, RMSE, SOM
2019 Advances in chemometric control of commercial diesel adulteration by kerosene using IR spectroscopy. GA, MCR-ALS, PCA, PLS, SPA
2019 Application of multi-element viscoelastic models to freshness evaluation of beef based on the viscoelasticity principle. RMSEP, TVB-N, UGO
10  2019 Fuzzy Multi-SVR Learning Model for Reliability-Based Design Optimization of Turbine Blades. RBDO
11  2019 High-throughput NIR spectroscopic (NIRS) detection of microplastics in soil. MP, NIR, NIRS, PLS-DA
12  2019 Predicting blood pressure from physiological index data using the SVR algorithm. BP, LinearR, MAE, MAPE
13  2019 Prediction of total volatile basic nitrogen (TVB-N) content of chilled beef for freshness evaluation by using viscoelasticity based on airflow and laser technique. PLSR, TVB-N
14  2018 Application of feature selection and regression models for chlorophyll-a prediction in a shallow lake. Chl-a, RF
15  2017 Predicting the Enzymatic Hydrolysis Half-lives of New Chemicals Using Support Vector Regression Models Based on Stepwise Feature Elimination. SFE
16  2017 Prediction of Mind-Wandering with Electroencephalogram and Non-linear Regression Modeling. EEG, MW
17  2016 A Unified and Comprehensible View of Parametric and Kernel Methods for Genomic Prediction with Application to Rice. GBLUP, LASSO, RKHS
18  2016 Comparison of DSP-based nonlinear equalizers for intra-channel nonlinearity compensation in coherent optical OFDM. 16-QAM, CO-OFDM, DBP, DSP, LOP, NLEs, V-NLE
19  2016 Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea. ---
20  2015 Applying Attenuated Total Reflection-Mid-Infrared (ATR-MIR) Spectroscopy to Detect Hairtail Surimi in Mixed Surimi and Their Surimi Products. ATR-MIR, ID3, KNN, PLS-DA
21  2015 Dimensionality reduction of RKHS model parameters. KPLS, RKHS, RKPLS
22  2015 [Qualitative-Quantitative Analysis of Rice Bran Oil Adulteration Based on Laser Near Infrared Spectroscopy]. biPLS, MSC, MSE, OSC, PLS, SNV_DT, SPA, SVM
23  2015 [Quantitative analysis of thiram by surface-enhanced raman spectroscopy combined with feature extraction Algorithms]. DCT, PCA, PLSR
24  2013 A consensus perceived glycemic variability metric. CGM, CPGV, GV, MPs
25  2013 [Low carbon number fatty acid content prediction based on near-infrared spectroscopy]. MSE, PCA, PLS, PSO, RBF
26  2012 Linear and non-linear chemometric modeling of THM formation in Barcelona's water treatment plant. K-PLS, WTP
27  2012 Max Margin General Linear Modeling for Neuroimage Analyses. df, DTI, GLM, OLS, VBA
28  2011 Evaluation of mutual information, genetic algorithm and SVR for feature selection in QSAR regression. GA, MI, QSAR
29  2010 A novel Locally Linear Embedding and Wavelet Transform based encoding method for prediction of MHC-II binding affinity. LLE, WT
30  2007 RFRCDB-siRNA: improved design of siRNAs by random forest regression model coupled with database searching. RFR
31  2006 Hybrid approach of selecting hyperparameters of support vector machine for regression. CA, RSVR
32  2006 Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models. MHCs, ROC
33  2006 Superiority of nonlinear mapping in decoding multiple single-unit neuronal spike trains: a simulation study. BMI, MLP