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On Asymptotics of Optimal Stopping Times
We consider optimal stopping problems, in which a sequence of independent random variables is drawn from a known continuous density. The objective of such problems is to find a procedure which maximizes the expected reward.
Hugh N. Entwistle +2 more
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Automatic Evaluation of Neural Network Training Results
This article is dedicated to solving the problem of an insufficient degree of automation of artificial neural network training. Despite the availability of a large number of libraries for training neural networks, machine learning engineers often have to
Roman Barinov +3 more
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Gravitational search algorithm‐extreme learning machine for COVID‐19 active cases forecasting
Corona Virus disease 2019 (COVID‐19) has shattered people's daily lives and is spreading rapidly across the globe. Existing non‐pharmaceutical intervention solutions often require timely and precise selection of small areas of people for containment or ...
Boyu Huang +6 more
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Optimal Adaptation for Early Stopping in Statistical Inverse Problems [PDF]
abridged and corrected ...
Blanchard, Gilles +2 more
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Multi-modal analysis of aerosol robotic network size distributions for remote sensing applications: dominant aerosol type cases [PDF]
To date, size distributions obtained from the aerosol robotic network (AERONET) have been fit with bi-lognormals defined by six secondary microphysical parameters: the volume concentration, effective radius, and the variance of fine and coarse particle ...
M. Taylor, S. Kazadzis, E. Gerasopoulos
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Stop-loss and leverage in optimal statistical arbitrage with an application to energy market [PDF]
In this paper we develop a statistical arbitrage trading strategy with two key elements in hi-frequency trading: stop-loss and leverage. We consider, as in Bertram (2009), a mean-reverting process for the security price with proportional transaction costs; we show how to introduce stop-loss and leverage in an optimal trading strategy.
Baviera, Roberto +1 more
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Introduction: Approximately 80% of non-small cell lung cancer (NSCLC) patients with bone metastases have cancer induced bone pain (CIBP).Methods: The NVALT-9 was an open-label, single arm, phase II, multicenter study.
Anita J. W. M. Brouns +10 more
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A variety of oxytocin regimens are used for labor induction and augmentation. Considering the increasing rates of labor induction, it is important to assess the most optimal oxytocin regimen without compromising maternal and fetal safety. The aim of this
Heidi Kruit +3 more
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Anisotropic Diffusion Based Multiplicative Speckle Noise Removal
Multiplicative speckle noise removal is a challenging task in image processing. Motivated by the performance of anisotropic diffusion in additive noise removal and the structure of the standard deviation of a compressed speckle noisy image, we address ...
Mei Gao +4 more
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Density-Based Multiscale Analysis for Clustering in Strong Noise Settings With Varying Densities
Finding meaningful clustering patterns in data can be very challenging when the clusters are of arbitrary shapes, different sizes, or densities, and especially when the data set contains high percentage (e.g., 80%) of noise.
Tian-Tian Zhang, Bo Yuan
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