Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Birsen Eygi Erdogan"'
Publikováno v:
Information Sciences. 557:373-381
Ensemble machine learning methods are frequently used for classification problems and it is known that they may boost the prediction accuracy. Support Vector Machines are widely used as base classifiers during the construction of different types of e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::651cc640f43091ee6b28dab12eca843b
https://doi.org/10.1016/j.ins.2019.02.045
https://doi.org/10.1016/j.ins.2019.02.045
The real estate sector is evolving and changing rapidly with the increase in housing demand, and new luxury housing projects appear every day. The reliability of housing market investments is largely dependent on accurate pricing. The aim of this stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f17aaadcfff9b91c28d96f63f75e830
https://doi.org/10.22541/au.160284063.37909495/v1
https://doi.org/10.22541/au.160284063.37909495/v1
Autor:
Sureyya Akyuz, Birsen Eygi Erdogan
Publikováno v:
Contributions to Statistics ISBN: 9783319732404
Support Vector Machines (SVMs) are one of the most popular classification methods developed in recent years which have various application fields of research with diverse types of data sets. Longitudinal type of data is one of these types where a gre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6341957322d212cbfca9b31e96d457e6
https://doi.org/10.1007/978-3-319-73241-1_6
https://doi.org/10.1007/978-3-319-73241-1_6
Autor:
Birsen Eygi Erdogan
Publikováno v:
Journal of Statistical Computation and Simulation. 83:1543-1555
The purpose of this study was to apply support vector machines (SVMs) to bank bankruptcy analysis using practical steps. Although the prediction of the financial distress of companies is done using several statistical and machine learning techniques,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e422f56b15836396e8b382b361814a16
https://doi.org/10.1080/00949655.2012.666550
https://doi.org/10.1080/00949655.2012.666550
Autor:
Birsen Eygi Erdogan, Deniz Inan
Publikováno v:
Communications in Statistics - Simulation and Computation. 42:1578-1586
It is known that multicollinearity inflates the variance of the maximum likelihood estimator in logistic regression. Especially, if the primary interest is in the coefficients, the impact of collinearity can be very serious. To deal with collinearity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28131c50dc192f51365043165c878aa2
https://doi.org/10.1080/03610918.2012.667480
https://doi.org/10.1080/03610918.2012.667480
Autor:
Abdurrahman Coskun, Mustafa Serteser, Sadik Duran, Özge Can, Ibrahim Unsal, Aysel Ozpinar, Birsen Eygi Erdogan, Tamer Inal
Publikováno v:
Journal of Cardiology. 61:128-131
Objective: The serum pregnancy-associated plasma protein-A (PAPP-A) concentration is a predictor of ischemic cardiac events and renal impairment. However, the reference interval of PAPP-A has not been determined. This study determined the reference i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0500c6757ba8f76d31d33d45d9b078e3
https://doi.org/10.1016/j.jjcc.2012.09.007
https://doi.org/10.1016/j.jjcc.2012.09.007
Publikováno v:
Notulae Scientia Biologicae, Vol 1, Iss 1, Pp 81-87 (2009)
Humic acids promote the conversion of mineral nutrients into forms available to plants. It also stimulates seed germination and viability, and its main effect usually being more prominent in the roots. The objective of this study was to determine of
Externí odkaz:
https://doaj.org/article/bdef90b7830643adb860c82404b64323