المؤلفون: Allu Ramakrishna, Padmanabhuni Venkata Nageswara Rao

المصدر: Cybernetics and Information Technologies, Vol 23, Iss 4, Pp 110-127 (2023)

مصطلحات موضوعية: convex least angle regression based least absolute shrinkage and selection operator (clar-lasso), crunch base dataset, startup, survival rate, swish activation function based long short term memory (lstm), Cybernetics, Q300-390

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1314-4081

URL الوصول: https://doaj.org/article/26efeaaa7e914d8880aebc7bf9530e34

المؤلفون: Utami, Mamik, Islamiyati, Anna, Thamrin, Sri Astuti

المصدر: ESTIMASI: Journal of Statistics and Its Application; Vol. 5, No. 1, Januari, 2024 : Estimasi; 75-83 ; 2721-379X ; 2721-3803

مصطلحات موضوعية: Binary Logistic Regression, Least Angle Regression Algorithm, Stunting

وصف الملف: application/pdf

Relation: http://journal.unhas.ac.id/index.php/ESTIMASI/article/view/12489/11185; http://journal.unhas.ac.id/index.php/ESTIMASI/article/view/12489

الاتاحة: http://journal.unhas.ac.id/index.php/ESTIMASI/article/view/12489
https://doi.org/10.20956/ejsa.v5i1.12489

المؤلفون: García-Merino, José Carlos, Calvo-Jurado, Carmen, García Macías, Enrique

مصطلحات موضوعية: Kriging, Least angle regression, Polynomial chaos expansion

Relation: García-Merino, J. C., Carmen Calvo-Jurado, and Enrique García-Macías. Sparse polynomial chaos expansion for universal stochastic kriging. Journal of Computational and Applied Mathematics 444 (2024) 115794 [10.1016/j.cam.2024.115794]; https://hdl.handle.net/10481/92138

الاتاحة: https://hdl.handle.net/10481/92138
https://doi.org/10.1016/j.cam.2024.115794

المؤلفون: Małgorzata Ćwiklińska-Jurkowska, Renata Paprocka, Godwin Munroe Mwaura, Jolanta Kutkowska

المصدر: Molecules, Vol 29, Iss 10, p 2369 (2024)

مصطلحات موضوعية: antibacterial activity, amidrazones, Gram-positive bacteria, GLMs, LASSO, least-angle regression, Organic chemistry, QD241-441

Relation: https://www.mdpi.com/1420-3049/29/10/2369; https://doaj.org/toc/1420-3049; https://doaj.org/article/043a2649f22a4dd8b72c2e0ffc27a9e3

الاتاحة: https://doi.org/10.3390/molecules29102369
https://doaj.org/article/043a2649f22a4dd8b72c2e0ffc27a9e3

المؤلفون: García Merino, José Carlos, Calvo Jurado, Carmen, García Macías, Enrique

المصدر: J.C. García-Merino, C. Calvo-Jurado, E. García-Macías, Sparse polynomial chaos expansion for universal stochastic kriging, Journal of Computational and Applied Mathematics, Volume 444, 2024, 115794, ISSN 0377-0427, https://doi.org/10.1016/j.cam.2024.115794

Relation: https://www.sciencedirect.com/science/article/pii/S0377042724000438?via%3Dihub

URL الوصول: http://hdl.handle.net/10662/23785

المؤلفون: Bin Li, Yuqi Wang, Lisha Li, Yande Liu

المصدر: Agriculture, Vol 13, Iss 1868, p 1868 (2023)

مصطلحات موضوعية: instance selection, least-angle regression, classification, SVM, near-infrared spectroscopy, Agriculture (General), S1-972

Relation: https://www.mdpi.com/2077-0472/13/10/1868; https://doaj.org/toc/2077-0472; https://doaj.org/article/ccbbe3f0d11e4bb39b96683437a9f6d9

الاتاحة: https://doi.org/10.3390/agriculture13101868
https://doaj.org/article/ccbbe3f0d11e4bb39b96683437a9f6d9

المؤلفون: Peter, Jacques, Bennehard, Quentin

المساهمون: DAAA, ONERA, Université Paris-Saclay Châtillon, ONERA-Université Paris-Saclay, DAAA, ONERA, Université Paris Saclay Meudon

المصدر: ECCOMAS 2022 ; https://hal.science/hal-03759477 ; ECCOMAS 2022, Jun 2022, Oslo, Norway

مصطلحات موضوعية: Numerical integration, Sparse grids, Generalized Polynomial Chaos, Compressed sensing, Least Angle Regression, INTEGRATION NUMERIQUE, QUADRATURES CREUSES, POLYNOMES DE CHAOS GENERALISES, ACQUISITION COMPRIMEE, REGRESSION PAR MOINDRE ANGLE, [SPI]Engineering Sciences [physics], [PHYS]Physics [physics], [MATH]Mathematics [math]

جغرافية الموضوع: Oslo, Norway

Relation: hal-03759477; https://hal.science/hal-03759477; https://hal.science/hal-03759477/document; https://hal.science/hal-03759477/file/DAAA22137.1661328679_postprint.pdf

الاتاحة: https://hal.science/hal-03759477
https://hal.science/hal-03759477/document
https://hal.science/hal-03759477/file/DAAA22137.1661328679_postprint.pdf

المؤلفون: Sanush K. Abeysekera, Ye-Chow Kuang, Melanie Po-Leen Ooi, Vineetha Kalavally

المصدر: IEEE Access, Vol 9, Pp 159515-159532 (2021)

مصطلحات موضوعية: Additive models, least angle regression, nonlinear transformations, subset selection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9631231/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/f3bd03599a0542428bc7e287f0e1010b

المؤلفون: ABDELLI, Djamel Eddin, NGUYEN, Thanh Hung, Clenet, Stephane, CHERIET, Ahmed

المساهمون: Laboratoire de Génie Electrique Univ. Biskra LGEB, Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 L2EP, Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697

مصطلحات موضوعية: Eddy Current Testing, Optical and Magnetic Materials, Electronic, Stochastic Model, Least Angle Regression Method, Probability Of Detection, Electrical and Electronic Engineering

وصف الملف: application/octet-stream

Relation: Ieee Transactions on Magnetics; http://hdl.handle.net/20.500.12210/20453

الاتاحة: https://hdl.handle.net/20.500.12210/20453

المؤلفون: Xiao, Wei, Wu, Yichao, Zhou, Hua

المصدر: Journal of Computational and Graphical Statistics. 24(3)

مصطلحات موضوعية: Mathematical Sciences, Statistics, Solution path, Group lasso, Regularization, Ordinary differential equation, Lasso, group lasso, lasso, least angle regression, ordinary differential equation, regularization, solution path, Econometrics, Statistics & Probability

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/58w4b5m9
https://escholarship.org/content/qt58w4b5m9/qt58w4b5m9.pdf

المؤلفون: Yuan, Ming, Lin, Yi

المصدر: Journal of the Royal Statistical Society. Series B (Statistical Methodology), 2007 Jan 01. 69(2), 143-161.

URL الوصول: https://www.jstor.org/stable/4623260

المؤلفون: Stražar, Martin, Curk, Tomaž

المصدر: Neurocomputing, vol. 340, pp. 245-258, 2019. ; ISSN: 0925-2312

مصطلحات موضوعية: kernel methods, kernel approximation, multiple kernel learning, least-angle regression, jedrne metode, aproksimacija jeder, učenje z več jedrnimi funkcijami, regresija najmanjših kotov, info:eu-repo/classification/udc/004

وصف الملف: application/pdf; text/url

Relation: info:eu-repo/grantAgreement/ARRS//P2-0209; info:eu-repo/grantAgreement/ARRS//J7-5460; info:eu-repo/grantAgreement/ARRS//J1-8150; info:eu-repo/grantAgreement/ARRS//J3-9263; https://repozitorij.uni-lj.si/IzpisGradiva.php?id=125566; https://repozitorij.uni-lj.si/Dokument.php?id=141328&dn=; https://repozitorij.uni-lj.si/Dokument.php?id=141327&dn=; https://plus.si.cobiss.net/opac7/bib/1538162883?lang=sl

الاتاحة: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=125566
https://repozitorij.uni-lj.si/Dokument.php?id=141328&dn=
https://repozitorij.uni-lj.si/Dokument.php?id=141327&dn=
https://plus.si.cobiss.net/opac7/bib/1538162883?lang=sl

المؤلفون: Vinh Ngoc Tran, Jongho Kim

المصدر: Water; Volume 13; Issue 2; Pages: 203

مصطلحات موضوعية: surrogate model, sparse polynomial chaos expansion, least angle regression, uncertainty quantification, sensitivity analysis, hydrologic prediction

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Hydrology; https://dx.doi.org/10.3390/w13020203

الاتاحة: https://doi.org/10.3390/w13020203

المؤلفون: A. El Sheikh, Ahmed, L. Barakat, Shaimaa, M. Mohamed, Salah

المصدر: Information Sciences Letters

مصطلحات موضوعية: categorical variable - least angle regression selection - multicollinearity-modified group lasso - variables selection

وصف الملف: application/pdf

Relation: https://digitalcommons.aaru.edu.jo/isl/vol10/iss3/16; https://digitalcommons.aaru.edu.jo/context/isl/article/1197/viewcontent/ydz64ba11i122r.pdf

الاتاحة: https://digitalcommons.aaru.edu.jo/isl/vol10/iss3/16
https://digitalcommons.aaru.edu.jo/context/isl/article/1197/viewcontent/ydz64ba11i122r.pdf

المؤلفون: Yuan, Ming, Lin, Yi

المصدر: Journal of the Royal Statistical Society. Series B (Statistical Methodology), 2006 Jan 01. 68(1), 49-67.

URL الوصول: https://www.jstor.org/stable/3647556

المؤلفون: Karl Sjöstrand, Line Harder Clemmensen, Rasmus Larsen, Gudmundur Einarsson, Bjarne Ersbøll

المصدر: Journal of Statistical Software, Vol 84, Iss 1, Pp 1-37 (2018)

مصطلحات موضوعية: least angle regression, LASSO, elastic net, sparse principal component analysis, sparse discriminant analysis, MATLAB, Statistics, HA1-4737

وصف الملف: electronic resource

Relation: https://www.jstatsoft.org/index.php/jss/article/view/2398; https://doaj.org/toc/1548-7660

URL الوصول: https://doaj.org/article/3c839d6c72bc4fec8e0e451203d6ea21

المؤلفون: Segal, Mark R

مصطلحات موضوعية: Clinical Epidemiology, Human Genetics, Microarrays, Statistical Models, Survival Analysis, Diffuse large-B-cell lymphoma, Gene harvesting, Least angle regression, Microarray, Proportional hazards, Time-dependent ROC curve

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/73f448zz

المؤلفون: Gui, Jiang, Li, Hongzhe

مصطلحات موضوعية: Human Genetics, Microarrays, Statistical Models, Survival Analysis, penalized estimation, least angle regression, microarray gene expression, censored survival data, Lasso, Cox model

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/9qx2t2t2

المؤلفون: Segal, Mark R, Dahlquist, Kam D, Conklin, Bruce R

مصطلحات موضوعية: Human Genetics, Microarrays, Statistical Models, cardiomyopathy, covariance inflation criterion, gene harvesting, lasso, least angle regression, microarray, model selection, support vector machine

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/8193v9bz

المؤلفون: Gholamnia, Khalil, Nachappa, Thimmaiah Gudiyangada, Ghorbanzadeh, Omid, Blaschke, Thomas

مصطلحات موضوعية: Bushfire, artificial neural network (ANN), dmine regression (DR), DM neural, least angle regression (LARS), multi-layer perceptron (MLP), random forest (RF), radial basis function (RBF), logistic regression (LR), self-organizing maps (SOM), support vector machine (SVM), decision tree (DT), MODIS, k-fold cross-validation

جغرافية الموضوع: PLUS:IFFB:ZGIS

وصف الملف: text/html

Relation: vignette : https://eplus.uni-salzburg.at/titlepage/urn/urn:nbn:at:at-ubs:3-17815/128; urn:nbn:at:at-ubs:3-17815; https://resolver.obvsg.at/urn:nbn:at:at-ubs:3-17815; local:99145472397403331; system:AC15665750

الاتاحة: https://doi.org/10.3390/sym12040604
https://eplus.uni-salzburg.at/doi/10.3390/sym12040604
https://resolver.obvsg.at/urn:nbn:at:at-ubs:3-17815