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Comparing Optimal Portfolio Performance Based on Skew-Normal Distribution and Skew-Laplace-Normal Distribution: A Mean-Absolute Deviation-Entropy Approach [PDF]
مدیریت صنعتیObjective Investors typically seek to strike the optimal balance between potential returns and associated risks in their trades. Various models have been presented to choose the optimal portfolio using different approaches.
Hila Rezaei +2 more
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The Use of Neural Networks in Distance Education Technologies for the Identification of Students
Открытое образование (Москва), 2021 Purpose of the research. The purpose of this research is to study the problems of the features of teaching technologies of modern artificial neural networks for carrying out the procedure of unambiguous authentication of students according to a pre ...
O. A. Kozlova, A. A. Protasova
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Loss Reserving Using Loss Aversion Functions [PDF]
SSRN Electronic Journal, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Choo, Weihao, De Jong, Piet
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IEEE Access, 2020 The recent success of graph neural networks (GNNs) in the area of pattern recognition (PR) has increased the interest of researchers to use these frameworks in non-euclidean structures.
Nadeem Iqbal Kajla +5 more
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Loss Functions for Loss Estimation
The Annals of Statistics, 1988 Let X be a random variable with distribution \(P_{\theta}\), where \(\theta\in \Theta\), and d(X) a decision for \(\theta\) with loss W(\(\theta\),d(X)). A class of loss functions combining the decision error W(\(\theta\),d(X)) and the error in estimating W(\(\theta\),d(X)) by h(X) is introduced. Under these loss functions the Bayes procedure \((d_ B(X)
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A Kernel Density Estimation Based Loss Function and its Application to ASV-Spoofing Detection
IEEE Access, 2020 Biometric systems are exposed to spoofing attacks which may compromise their security, and voice biometrics, also known as automatic speaker verification (ASV), is no exception.
Alejandro Gomez-Alanis +2 more
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A Pedestrian Detection Network Model Based on Improved YOLOv5
Entropy, 2023 Advanced object detection methods always face high algorithmic complexity or low accuracy when used in pedestrian target detection for the autonomous driving system.
Ming-Lun Li, Guo-Bing Sun, Jia-Xiang Yu
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Are Analysts' Loss Functions Asymmetric? [PDF]
Journal of Forecasting, 2006 ABSTRACTDespite displaying a statistically significant optimism bias, analysts' earnings forecasts are an important input to investors’ valuation models. Understanding the possible reasons for any bias is important if information is to be extracted from earnings forecasts and used optimally by investors. Extant research into the shape of analysts' loss
Clatworthy, Mark A. +2 more
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IEEE Access, 2020 Positron emission tomography (PET) has rich pseudo color information that reflects the functional characteristics of tissue, but lacks structural information and its spatial resolution is low.
Jiayin Kang, Wu Lu, Wenjuan Zhang
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YOLO-MMCE algorithm for visual detection of engineering vehicles in high-consequence area
You-qi chuyunObjective Engineering vehicles operating on large-scale construction sites in high-consequence areas pose severe safety hazards to buried pipelines. This paper addresses the shortcomings of current common techniques for detecting overlapped targets of ...
Huimei SUN +3 more
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