Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Conic functions"'
Autor:
Stefano Vita
Publikováno v:
Bruno Pini Mathematical Analysis Seminar, Vol 10, Iss 1, Pp 28-41 (2019)
We deal with non negative functions which are s-harmonic on a given cone of the n-dimensional Euclidean space with vertex at zero, vanishing on the complementary. We consider the case when the parameter s approaches 1, wondering whether solutions of
Externí odkaz:
https://doaj.org/article/0a9cf2a80a8743f1885ed581f096a2fe
Autor:
Nur Uylaş Satı
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 3, Iss 1, Pp 152-161 (2015)
Data classification is one of the main techniques of data mining. Different mathematical programming approaches of the data classification were presented in recent years. A technique that uses polyhedral conic functions (PCF) is an effective method f
Externí odkaz:
https://doaj.org/article/5ef6a04abee245dca1df7125aecde97f
Autor:
Nur UYLAŞ SATI
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 3, Iss 1, Pp 152-161 (2015)
Veri sınıflandırma, veri madenciliğinin önemli tekniklerinden birisidir. Son yıllarda veri sınıflandırması için farklı matematiksel programlama yaklaşımları sunulmuştur. Çokyüzlü konik fonksiyonları kullanan bir teknik veri sını
Externí odkaz:
https://doaj.org/article/b29933678742423b99189825d40a408b
Autor:
Nur UYLAŞ SATI
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 3, Iss 1, Pp 152-161 (2014)
Veri sınıflandırma, veri madenciliğinin önemli tekniklerinden birisidir. Son yıllarda veri sınıflandırması için farklı matematiksel programlama yaklaşımları sunulmuştur. Çokyüzlü konik fonksiyonları kullanan bir teknik veri sını
Externí odkaz:
https://doaj.org/article/d88d2520412d4e5194d20b28da5092e4
Autor:
Nur Uylaş Sati
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 28:80-92
UYLAS SATI, NUR/0000-0003-1553-9466 WOS: 000510459900006 In real-world problems, finding sufficient labeled data for defining classification rules is very difficult. This paper suggests a new semisupervised multiclass classification method. In the in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::205a1524e2e0001607458622f3d3b492
https://doi.org/10.3906/elk-1905-45
https://doi.org/10.3906/elk-1905-45
Publikováno v:
Digital Signal Processing. 77:187-194
WOS: 000432635500014
In order to cope with classification problems involving large datasets, we propose a new mathematical programming algorithm by extending the clustering based polyhedral conic functions approach. Despite the high classificati
In order to cope with classification problems involving large datasets, we propose a new mathematical programming algorithm by extending the clustering based polyhedral conic functions approach. Despite the high classificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b50549bced08b94290d90372f7b45791
https://doi.org/10.1016/j.dsp.2017.11.010
https://doi.org/10.1016/j.dsp.2017.11.010
Akademický článek
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Autor:
Emre Cimen, Gurkan Ozturk
Publikováno v:
Volume: 27, Issue: 2 1172-1180
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
In this study, we propose a new approach that can be used as a kernel-like function for support vector machines (SVMs) in order to get nonlinear classification surfaces. We combined polyhedral conic functions (PCFs) with the SVM method. To get nonlin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b097ff7f950a506b982391083a2cd6cb
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/45636/574590
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/45636/574590
Autor:
Vita, S
We deal with non negative functions which are s-harmonic on a given cone of the n-dimensional Euclidean space with vertex at zero, vanishing on the complementary. We consider the case when the parameter s approaches 1, wondering whether solutions of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9c19bf3525d9027aed7b7837608f8e9f
http://hdl.handle.net/2318/1847427
http://hdl.handle.net/2318/1847427
Akademický článek
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