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pro vyhledávání: '"Continuous derivative"'
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Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 343-348 (2019)
Fitting a smooth surface on irregular data is a problem in many applications of data analysis. Spline polynomials in different orders have been used for interpolation and approximation in one or two-dimensional space in many researches. These polynom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b86d75f0333fe3e96a84c190f46de119
https://doi.org/10.5194/isprs-archives-xlii-4-w18-343-2019
https://doi.org/10.5194/isprs-archives-xlii-4-w18-343-2019
Publikováno v:
Theoretical Ecology. 13:85-92
We analyze the model of costly signalling theory and show that dishonest signalling is still a possible outcome even for costly indices that cannot be faked. We assume that signallers pay the cost for sending a signal and that the cost correlates neg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1040d7eff31673c2c5e1d9cee1bfe4d9
https://doi.org/10.1007/s12080-019-0429-0
https://doi.org/10.1007/s12080-019-0429-0
Publikováno v:
Signal Processing. 158:201-209
The present study proposes the Robust DLMS (RDLMS) algorithm for a robust estimation over adaptive networks. Instead of minimizing the mean square error (MSE), the RDLMS algorithm is derived from minimizing the pseudo-Huber function which is a contin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c6627e1e80b25e2af439ed89d239360
https://doi.org/10.1016/j.sigpro.2019.01.004
https://doi.org/10.1016/j.sigpro.2019.01.004
Autor:
Saigal, R.
Publikováno v:
Mathematics of Operations Research, 1979 May 01. 4(2), 153-161.
Externí odkaz:
https://www.jstor.org/stable/3689348
Autor:
Teng Li, Yepeng Guan
Publikováno v:
Sensors, Vol 21, Iss 4248, p 4248 (2021)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Spatiotemporal prediction is challenging due to extracting representations being inefficient and the lack of rich contextual dependences. A novel approach is proposed for spatiotemporal prediction using a dual memory LSTM with dual attention neural n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ed3007974c6223d661ae87edffced1f
https://pubmed.ncbi.nlm.nih.gov/34205796
https://pubmed.ncbi.nlm.nih.gov/34205796
Autor:
Dakun Yang, Yan Liu
Publikováno v:
Neurocomputing. 272:122-129
Interval neural networks can easily address uncertain information, since they are capable of handling various kinds of uncertainties inherently which are represented by interval. L q (0 q L 1 regularization for better solution of sparsity problems, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d3f6b3deab00968e0bf1563b7a3a8d6
https://doi.org/10.1016/j.neucom.2017.06.061
https://doi.org/10.1016/j.neucom.2017.06.061
Autor:
Sever S Dragomir
Publikováno v:
Volume: 69, Issue: 1 49-72
Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics
Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics
Let g be a strictly increasing function on (a,b), having a continuous derivative g′ on (a,b). For the Lebesgue integrable function f:(a,b)→C, we define the k-g-left-sided fractional integral of f by S_{k,g,a+}f(x)=∫_{a}^{x}k(g(x)-g(t))g′(t)f(
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b8dda57d8c0eb466648463bbfea7fe7
https://dergipark.org.tr/tr/pub/cfsuasmas/issue/49221/542665
https://dergipark.org.tr/tr/pub/cfsuasmas/issue/49221/542665
Akademický článek
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