Results 11 to 20 of about 889,338 (324)
Smooth Imitation Learning via Smooth Costs and Smooth Policies [PDF]
Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), 2022 To appear in the Proceedings of the Fifth Joint International Conference on Data Science and Management of Data (CoDS-COMAD 2022). Research Track.
Chaudhary, Sapana, Ravindran, Balaraman
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Smoothing semi-smooth stable Godeaux surfaces
Algebraic Geometry, 2022 We show that all the semi-smooth stable complex Godeaux surfaces, classified in [FPR18a], are smoothable, and that the moduli stack is smooth of the expected dimension 8 at the corresponding points.
Fantechi B., Franciosi M., Pardini R.
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, 2009 Contains fulltext : 227633.pdf (publisher's version ) (Open ...
Hiemstra, Djoerd
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Smooth transition exponential smoothing [PDF]
Journal of Forecasting, 2004 AbstractAdaptive exponential smoothing methods allow a smoothing parameter to change over time, in order to adapt to changes in the characteristics of the time series. However, these methods have tended to produce unstable forecasts and have performed poorly in empirical studies.
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Nesterov Smoothing for Sampling Without Smoothness
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 We study the problem of sampling from a target distribution in $\mathbb{R}^d$ whose potential is not smooth. Compared with the sampling problem with smooth potentials, this problem is much less well-understood due to the lack of smoothness. In this paper, we propose a novel sampling algorithm for a class of non-smooth potentials by first approximating ...
Fan, Jiaojiao +3 more
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Effects of Smoothing Functions in Cosmological Counts-in-Cells Analysis [PDF]
, 2006 A method of counts-in-cells analysis of galaxy distribution is investigated with arbitrary smoothing functions in obtaining the galaxy counts. We explore the possiblity of optimizing the smoothing function, considering a series of $m$-weight Epanechnikov
Matsubara, Takahiko, Murata, Yoshitaka
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Smoothing and Clustering Guided Image Decolorization
Image Analysis and Stereology, 2021 In this paper, we propose a new image decolorization method based on image clustering and weight optimization. First, we smooth the color image and cluster it into several classes and get the class centers.
Fang Li, Yuanming Zhu
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Experimental Mathematics, 2013 We give a new algorithm that quickly finds smooth neighbors.
Conrey, Brian +2 more
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Contexte théorique de la notion de discontinuité géographique
Cybergeo, 2002 Likeness and proximity are studied in the particular context of geographical discontinuity, in both clustered (bounded) and continuous spaces. First, likeness and proximity are linked: likeness could be spatial and/or social; moreover, social structures ...
J.C. François
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Comparison of Parametric and Nonparametric Forecasting Methods for Daily COVID-19 Cases in Malaysia
JOIV: International Journal on Informatics Visualization, 2023 Numerous research studies are currently examining various measures to control the transmission of COVID-19. One essential task in this regard is predicting or forecasting the number of infected individuals.
I Made Artha Agastya, Afrig Aminuddin
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