Authors: Ding, Yu

Subject Terms: Bayesian Additive Regression Trees, SVM Model, data mining, Power Curve Model, data analytics, Wind Speed, renewable energy, GEV Distribution, wind turbines, PACF Plot, machine learning, Wind Turbine, bayesian methods, Binning Method, data science methods, Local Wind Field, wind energy applications, ARMA Model, turbine reliability assessment, Wind Field Analysis, near-ground wind field analysis, Ahead Forecast, Wind Speed Forecast, Power Curve, Wind Farm, Test Turbine, Importance Sampling Density, Be, GMRF Model, thema EDItEUR:U Computing and Information Technology:UY Computer science:UYQ Artificial intelligence, thema EDItEUR:U Computing and Information Technology:UN Databases, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TQ Environmental science, engineering and technology, thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TH Energy technology and engineering:THV Alternative and renewable energy sources and technology, thema EDItEUR:P Mathematics and Science:PB Mathematics:PBT Probability and statistics

File Description: image/jpeg

Access URL: https://directory.doabooks.org/handle/20.500.12854/133841

Authors: Cabras, Stefano, Tena Horrillo, Juan de Dios

Contributors: Ministerio de Economía y Competitividad (España), Ministerio de Ciencia e Innovación (España)

Subject Terms: Regression trees, Causality, ICT, Bayesian statistics, BART, Estadística, Informática, Matemáticas

Relation: http://hdl.handle.net/10016/19916; Gobierno de España. ECO2009-08100; Gobierno de España. ECO2012-38442; Gobierno de España. ECO2012-32401; Gobierno de España. RYC-2012-11455; Gobierno de España. MTM2013-42323; Cabras, S. & Tena Horrillo, J. D. (2016). A Bayesian non-parametric modeling to estimate student response to ICT investment. Journal of Applied Stadistics, 43(14), pp. 2627-2642.; http://hdl.handle.net/10016/33015; https://doi.org/10.1080/02664763.2016.1142946; 2627; 14; 2642; Journal of Applied Stadistics; 43; AR/0000018204

Availability: https://doi.org/10.1080/02664763.2016.1142946
http://hdl.handle.net/10016/33015

Authors: Martinho, Vítor, Bartkiene, Elena, Djekic, Ilija, Tarcea, Monica, Barić, Irena Colić, Černelič-Bizjak, Maša, Szűcs, Viktória, Sarcona, Alessandra, El-Kenawy, Ayman, Ferreira, Vanessa, Klava, Dace, Korzeniowska, Małgorzata, Vittadini, Elena, Leal, Marcela, Bolhuis, Dieuwerke, Papageorgiou, Maria, Guiné, Raquel P. F.

Subject Terms: Factor analysis, Indexes, Classification and regressions trees, Human nutrition, Food policy instruments, Marketing strategies

Relation: http://hdl.handle.net/10400.19/6905

Availability: https://doi.org/10.1080/09637486.2021.1939659
http://hdl.handle.net/10400.19/6905

Authors: Irving, Katie, Jähnig, Sonja C., Kuemmerlen, Mathias

Subject Terms: boosted regression trees, invasive species, macroinvertebrates, predictive modeling, river ecosystems, variable selection

Relation: Inland Waters--Inland Waters--journals:1315--2044-2041--2044-205X; eawag:23939; scopus: 2-s2.0-85075917706; journal id: journals:1315; e-issn: 2044-205X; ut: 000500509100001

Availability: https://doi.org/10.1080/20442041.2019.1653111

Authors: Bappa Das, Rabi N. Sahoo, Ankur Biswas, Sourabh Pargal, Gopal Krishna, Rakesh Verma, Viswanathan Chinnusamy, Vinay K. Sehgal, Vinod K. Gupta

Subject Terms: Genotype discrimination, spectral separability, classification and regression tree analysis, Jeffries–Matusita distance, quadratic discriminant analysis

Relation: Not Available; Bappa Das, Rabi N. Sahoo, Ankur Biswas, Sourabh Pargal, Gopal Krishna, Rakesh Verma, Viswanathan Chinnusamy, Vinay K. Sehgal & Vinod K. Gupta (2020) Discrimination of rice genotypes using field spectroradiometry, Geocarto International, 35:1, 64-77, DOI:10.1080/10106049.2018.1506507; http://krishi.icar.gov.in/jspui/handle/123456789/44566

Availability: http://krishi.icar.gov.in/jspui/handle/123456789/44566

Authors: Theodoropoulos, Christos, Vourka, Aikaterini, Skoulikidis, Nikolaos, Rutschmann, Peter, Stamou, Anastasios

Subject Terms: info:eu-repo/classification/ddc/620, Ingenieurwissenschaften, Habitat models, Random Forests, fuzzy Bayesian, fuzzy, logic, Boosted Regression Trees, environmental flows

File Description: Text

Relation: https://mediatum.ub.tum.de/1464459; https://doi.org/10.1080/24705357.2018.1440360

Availability: https://doi.org/10.1080/24705357.2018.1440360
https://mediatum.ub.tum.de/1464459

Authors: Sonobe, Rei, Tani, Hiroshi, Wang, Xiufeng

Subject Terms: Classification and regression tree, kernel-based extreme learning machine, Landsat-8, operational land imager, geo, info

Time: 510

Relation: http://hdl.handle.net/2115/64502

Availability: http://hdl.handle.net/2115/64502

Authors: Sonobe, Rei, Tani, Hiroshi, Wang, Xiufeng

Subject Terms: Classification and regression tree, kernel-based extreme learning machine, Landsat-8, operational land imager

Time: 510

Relation: http://hdl.handle.net/2115/64502; Geocarto international, 32(2): 128-138; http://dx.doi.org/10.1080/10106049.2015.1130085

Availability: https://doi.org/10.1080/10106049.2015.1130085
http://hdl.handle.net/2115/64502

Index Terms: Classification and regression tree, kernel-based extreme learning machine, Landsat-8, operational land imager, 510, article (author version)

URL: http://hdl.handle.net/2115/64502

Index Terms: Classification and regression tree, kernel-based extreme learning machine, Landsat-8, operational land imager, 510, Journal Article, AM

URL: http://hdl.handle.net/2115/64502
https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/64502/1/Geocarto%20Int.32-2_128-138.pdf
https://doi.org/10.1080/10106049.2015.1130085
https://doi.org/10.1080/10106049.2015.1130085

Index Terms: Classification and regression tree, kernel-based extreme learning machine, Landsat-8, operational land imager, 510, article (author version)

URL: http://hdl.handle.net/2115/64502