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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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Constraint Loss for Rotated Object Detection in Remote Sensing Images
Remote Sensing, 2021 Rotated object detection is an extension of object detection that uses an oriented bounding box instead of a general horizontal bounding box to define the object position.
Luyang Zhang +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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Cumhuriyet Science Journal, 2020 Chen is suggested a two-parameter distribution. This distribution can have increasing failure rate function or a bathtub-shaped that allows it to fit real lifetime data sets.
Kerem Gencer, Gülcan Gencer
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Object Detection in Aerial Images Using a Multiscale Keypoint Detection Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Automatic object detection in aerial imagery is being increasingly adopted in many applications, such as traffic monitoring, smart cities, and disaster assistance.
Jinhe Su +4 more
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Stein-Rule Estimation under an Extended Balanced Loss Function [PDF]
, 2007 This paper extends the balanced loss function to a more general set up. The ordinary least squares and Stein-rule estimators are exposed to this general loss function with quadratic loss structure in a linear regression model.
Toutenburg, Helge +2 more
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IEEE Access, 2020 Mixture modelling has stunning applications to explain the composite problems in simple way. Bayesian demonstration of 3-Component mixture model of Exponentiated Pareto distribution in right-type-I censoring scheme is presented in this article.
Ammara Nawaz Cheema +3 more
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Acoustics, 2023 Deep representation learning has gained significant momentum in advancing text-dependent speaker verification (TD-SV) systems. When designing deep neural networks (DNN) for extracting bottleneck (BN) features, the key considerations include training ...
Achintya Kumar Sarkar, Zheng-Hua Tan
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IEEE AccessClassification applications in order to obtain the desired information from satellite images are one of the increasing areas of study. Remote sensing satellite images are very difficult to obtain, but nevertheless, they can be used in many different ...
Ebru Karakose
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Energy loss function of samarium
Scientific Reports, 2023 AbstractWe present a combined experimental and theoretical work to obtain the energy loss function (ELF) or the excitation spectrum of samarium in the energy loss range between 3 and 200 eV. At low loss energies, the plasmon excitation is clearly identified and the surface and bulk contributions are distinguished. For the precise analysis the frequency-
Yang, T.F. +6 more
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