support vector machine

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1
Sentiment Analysis in the Sales Review of Indonesian Marketplace by Utilizing Support Vector Machine
Anang Anggono Lutfi;Adhistya Erna Permanasari;Silmi Fauziati;
2018 journal of information systems engineering and bus... DOI: 10.20473/jisebi.4.1.... 245 views
2
Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine.
Di, Zonglin;Gong, Xiaoliang;Shi, Jingyu;Ahmed, Hosameldin O A;Nandi, Asoke K;
2019 addictive behaviors reports DOI: 10.1016/j.abrep.2019... 390 views
3
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier.
Lin, Jianying;Chen, Hui;Li, Shan;Liu, Yushuang;Li, Xuan;Yu, Bin;
2019 artificial intelligence in medicine DOI: S0933-3657(18)30392-... 329 views
4
Mining featured biomarkers associated with vascular invasion in HCC by bioinformatics analysis with TCGA RNA sequencing data.
Zhang, Ruoyan;Ye, Junfeng;Huang, Heyu;Du, Xiaohong;
2019 Biomedicine & pharmacotherapy = Biomedecine & phar... DOI: S0753-3322(19)30219-... 297 views
5
Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis.
Kim, Yeonuk;Johnson, Mark S;Knox, Sara Helen;Black, T Andrew;Dalmagro, Higo J;Kang, Minseok;Kim, Joo...
2019 Global change biology DOI: 10.1111/gcb.14845 335 views
6
Development of a method for comprehensive water quality forecasting and its application in Miyun reservoir of Beijing, China.
Zhang, Lei;Zou, Zhihong;Shan, Wei;
2017 Journal of environmental sciences (China) DOI: S1001-0742(16)30874-... 249 views
7
Can data from native mosquitoes support determining invasive species habitats? Modelling the climatic niche of Aedes japonicus japonicus (Diptera, Culicidae) in Germany.
Kerkow, Antje;Wieland, Ralf;Früh, Linus;Hölker, Franz;Jeschke, Jonathan M;Werner, Doreen;Kampen, Hel...
2019 parasitology research DOI: 10.1007/s00436-019-0... 304 views
8
Application of Machine Learning to Predict Grain Boundary Embrittlement in Metals by Combining Bonding-Breaking and Atomic Size Effects.
Wu, Xuebang;Wang, Yu-Xuan;He, Kan-Ni;Li, Xiangyan;Liu, Wei;Zhang, Yange;Xu, Yichun;Liu, Changsong;
2020 Materials (Basel, Switzerland) DOI: E179 228 views
9
Identifying Cancer Targets Based on Machine Learning Methods via Chou's 5-steps Rule and General Pseudo Components.
Liang, Ruirui;Xie, Jiayang;Zhang, Chi;Zhang, Mengying;Huang, Hai;Huo, Haizhong;Cao, Xin;Niu, Bing;
2019 Current topics in medicinal chemistry DOI: 10.2174/156802661966... 295 views
10
Establishment of Landslide Groundwater Level Prediction Model Based on GA-SVM and Influencing Factor Analysis.
Cao, Ying;Yin, Kunlong;Zhou, Chao;Ahmed, Bayes;
2020 sensors DOI: E845 257 views
11
Antigenic: An improved prediction model of protective antigens.
Rahman, M Saifur;Rahman, Md Khaledur;Saha, Sanjay;Kaykobad, M;Rahman, M Sohel;
2019 artificial intelligence in medicine DOI: S0933-3657(18)30274-... 249 views
12
Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening.
Basith, Shaherin;Manavalan, Balachandran;Hwan Shin, Tae;Lee, Gwang;
2020 medicinal research reviews DOI: 10.1002/med.21658 288 views
13
Deep Learning Classification for Diabetic Foot Thermograms.
Cruz-Vega, Israel;Hernandez-Contreras, Daniel;Peregrina-Barreto, Hayde;Rangel-Magdaleno, Jose de Jes...
2020 sensors DOI: E1762 224 views
14
Employing Ray-Tracing and Least-Squares Support Vector Machines for Localisation
Benny Chitambira;Simon Armour;Stephen Wales;Mark Beach;Chitambira, Benny;Armour, Simon;Wales, Stephe...
2018 sensors DOI: 10.3390/s18114059 214 views
15
Fluorescent nanoprobe array based on carbon nanodots for qualitative and quantitative determination of biogenic polyamine.
Du, Na;Dou, Zhi;Wu, Yapei;Wu, Qiuhua;Zhang, Guolin;Liu, Xue;
2020 Mikrochimica acta DOI: 10.1007/s00604-020-0... 180 views
16
Prognostic Assessment of Cervical Cancer Patients by Clinical Staging and Surgical-Pathological Factor: A Support Vector Machine-Based Approach.
Xie, Lin;Chu, Ran;Wang, Kai;Zhang, Xi;Li, Jie;Zhao, Zhe;Yao, Shu;Wang, Zhiwen;Dong, Taotao;Yang, Xin...
2020 Frontiers in oncology DOI: 10.3389/fonc.2020.01... 198 views
17
WiGAN: A WiFi Based Gesture Recognition System with GANs.
Jiang, Dehao;Li, Mingqi;Xu, Chunling;
2020 sensors DOI: E4757 229 views
18
Evaluating the integrity of forested riparian buffers over a large area using LiDAR data and Google Earth Engine.
Zurqani, Hamdi A;Post, Christopher J;Mikhailova, Elena A;Cope, Michael P;Allen, Jeffery S;Lytle, Bla...
2020 Scientific reports DOI: 10.1038/s41598-020-6... 210 views
19
Bankruptcy Prediction and Stress Quantification Using Support Vector Machine: Evidence from Indian Banks
Santosh Kumar Shrivastav;P. Janaki Ramudu;Shrivastav, Santosh Kumar;Ramudu, P. Janaki;
2020 risks DOI: 10.3390/risks8020052 200 views
20
Support Vector Machine Optimized by Genetic Algorithm for Data Analysis of Near-Infrared Spectroscopy Sensors
Di Wang;Lin Xie;Simon X. Yang;Fengchun Tian;Wang, Di;Xie, Lin;Yang, Simon X.;Tian, Fengchun;
2018 sensors DOI: 10.3390/s18103222 231 views

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marketplace naive bayes online store sentiment analysis sales review feature selection ia detection internet addiction (ia) personality questionnaire genetic algorithm feature extraction bagging druggable proteins ensemble classifier prognosis hepatocellular carcinoma vascular invasion Machine learning artificial neural network random forest