Results 11 to 20 of about 168,055 (268)
Smooth Imitation Learning via Smooth Costs and Smooth Policies [PDF]
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
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]
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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SATELLITE ALTIMETER DATA FILTERING AND SMOOTHING IN THE COURSE OF GROUND-BASED RETRACKING
Introduction. Satellite radar altimeter is an essential part of the Earth remote sensing space missions. Satellite altimeter on-board delay-lock loop, by a widely shared concept, is operationally just a tool of a reliable retaining of received echo ...
D. S. Borovitsky +3 more
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Functional data analysis techniques, such as penalized splines, have become common tools used in a variety of applied research settings. Penalized spline estimators are frequently used in applied research to estimate unknown functions from noisy data ...
Lauren N. Berry, Nathaniel E. Helwig
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Modelling Petroleum Prices in Tanzania: A Comparative Analysis between ARIMA and Holt’s Method [PDF]
Petroleum is one of the vital sources of energy for economic activities and the most traded commodity worldwide. It is crucial to industry and civilization and as it meets a substantial portion of the world's energy requirements, it has a big impact on ...
Laban Gasper, George Abrahamu
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Applied Geospatial Bayesian Modeling in the Big Data Era: Challenges and Solutions
Two important trends in applied statistics are an increased usage of geospatial models and an increased usage of big data. Naturally, there has been overlap as analysts utilize the techniques associated with each. With geospatial methods such as kriging,
Jason S. Byers, Jeff Gill
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Smooth transition exponential smoothing [PDF]
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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ASSESSMENT AND POLICY OF ALIGNMENT ECONOMIC ASYMMETRY OF RUSSIAN FEDERATION REGIONS
The questions deals with economic asymmetry of Russia regions. Analyzed assessment of regional economic asymmetry. Offers basic steps to align of regional economy.
Rustam M. Ustaev, Valentina N. Parakhina
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Semilocal smoothihg S-splines [PDF]
Semilocal smoothing splines or S-splines from class C p are considered. These splines consist of polynomials of a degree n, first p + 1 coefficients of each polynomial are determined by values of the previous polynomial and p its derivatives at the point
Dmitrii Alekseevich Silaev
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