Results 11 to 20 of about 159,943 (267)
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.
Sapana Chaudhary, Balaraman Ravindran
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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 ...
Jiaojiao Fan +3 more
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Waved aCGH: to smooth or not to smooth [PDF]
Nucleic Acids Research, 2010 Array-based comparative genomic hybridization (aCGH) is a powerful tool to detect genomic imbalances in the human genome. The analysis of aCGH data sets has revealed the existence of a widespread technical artifact termed as 'waves', characterized by an undulating data profile along the chromosome.
Leprêtre, F. +10 more
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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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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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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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Experimental Mathematics, 2013 We give a new algorithm that quickly finds smooth neighbors.
J. Brian Conrey +2 more
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Multitarget Tracking Using One Time Step Lagged Delta-Generalized Labeled Multi-Bernoulli Smoothing
IEEE Access, 2020 Aiming at improving the tracking performance of the delta-generalized labeled multi-Bernoulli (δ-GLMB) filter, we present a one time step lagged δ-GLMB smoother in this work, which also inherently outputs targets trajectories and differs ...
Guolong Liang +3 more
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Utility Perception in System Dynamics Models
Systems, 2018 The utility perceived by individuals is believed to be different from the utility experienced by that individual. System dynamicists implicitly categorize this phenomenon as a form of bounded rationality, and traditionally employ an exponential smoothing
Saeed P. Langarudi, Isa Bar-On
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