Zobrazeno 1 - 7
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pro vyhledávání: '"Kraeva, Yana"'
Autor:
Zymbler, Mikhail, Kraeva, Yana
Currently, discovering subsequence anomalies in time series remains one of the most topical research problems. A subsequence anomaly refers to successive points in time that are collectively abnormal, although each point is not necessarily an outlier
Externí odkaz:
http://arxiv.org/abs/2304.01660
Autor:
Kraeva, Yana, Zymbler, Mikhail
Nowadays, subsequence similarity search is required in a wide range of time series mining applications: climate modeling, financial forecasts, medical research, etc. In most of these applications, the Dynamic TimeWarping (DTW) similarity measure is u
Externí odkaz:
http://arxiv.org/abs/1812.10302
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2700 Issue 1, p1-5, 5p
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2700 Issue 1, p1-6, 6p
Autor:
Kraeva, Yana G.
Publikováno v:
Online access.
Thesis (M.F.A.)--Stony Brook University, 2008.
This official electronic copy is part of the DSpace Stony Brook theses & dissertations collection maintained by the University Libraries, Special Collections & University Archives on behalf of the S
This official electronic copy is part of the DSpace Stony Brook theses & dissertations collection maintained by the University Libraries, Special Collections & University Archives on behalf of the S
Externí odkaz:
http://hdl.handle.net/1951/45225
In this study, deep neural networks are developed to evaluate its performance over wine data set from UCI repository. The data set consists of white and red wine samples from Portugal. Previous studies claimed that Support Vector Machine (SVM) outper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______9626::b8cd29a47dc8123353c8786ebf65a196
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