, 2012 In this work, we present a leptonic, time-dependent model of pulsar wind nebulae (PWNe). The model seeks a solution for the lepton distribution function considering the full time-energy dependent diffusion-loss equation.
Abdo +55 more
core +1 more source
Robust Bayesian Inference in Finite Population Sampling under Balanced Loss Function
Communications for Statistical Applications and Methods, 2014 Summary: In this paper we develop Bayes and empirical Bayes estimators of the finite population mean with the assumption of posterior linearity rather than normality of the superpopulation under the balanced loss function. We compare the performance of the optimal Bayes estimator with ones of the classical sample mean and the usual Bayes estimator ...
Kim, Eunyoung, Kim, Dal Ho
openaire +3 more sources
Tversky loss function for image segmentation using 3D fully convolutional deep networks
, 2017 Fully convolutional deep neural networks carry out excellent potential for fast and accurate image segmentation. One of the main challenges in training these networks is data imbalance, which is particularly problematic in medical imaging applications ...
A Tversky +13 more
core +1 more source
Unconventional machine learning of genome-wide human cancer data
, 2020 Recent advances in high-throughput genomic technologies coupled with exponential increases in computer processing and memory have allowed us to interrogate the complex aberrant molecular underpinnings of human disease from a genome-wide perspective ...
Bajaj, Sweta R. +7 more
core +1 more source
The effect of very low-calorie diets on renal and hepatic outcomes : a systematic review [PDF]
, 2013 Peer reviewedPublisher ...
Broom, J +3 more
core +3 more sources
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
, 2016 Attribute recognition, particularly facial, extracts many labels for each image. While some multi-task vision problems can be decomposed into separate tasks and stages, e.g., training independent models for each task, for a growing set of problems joint ...
A Dutta +8 more
core +1 more source
PT-Symmetric Nonlinear Metamaterials and Zero-Dimensional Systems
, 2013 A one dimensional, parity-time (${\cal PT}$)-symmetric magnetic metamaterial comprising split-ring resonators having both gain and loss is investigated.
Lazarides, N., Tsironis, G. P.
core +1 more source
Admissibility results under some balanced loss functions for a functional regression model
Comptes Rendus. Mathématique, 2019 We consider the problem of the nonparametric estimation in a functional regression model Y=r(X)+ε, with Y a real random variable response and X representing a functional variable taking values in a semi-metric space. The aim of this note is to find conditions of admissibility of Stein-type estimators of such a model under a class of balanced loss ...
Djerfi, Kouider +2 more
openaire +2 more sources
On continuous distribution functions, minimax and best invariant estimators, and integrated balanced loss functions [PDF]
Canadian Journal of Statistics, 2014 AbstractWe consider the problem of estimating a continuous distribution function F, as well as meaningful functions under a large class of loss functions. We obtain best invariant estimators and establish their minimaxity for Hölder continuous ’s and strict bowl‐shaped losses with a bounded derivative.
Jozani, Mohammad Jafari +2 more
openaire +3 more sources
Remote Sensing Image Retrieval by Deep Attention Hashing With Distance-Adaptive Ranking
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 With the joint advancement of numerous related fields of remote sensing, the amount of remote sensing data is growing exponentially. As an essential remote sensing Big Data management technique, content-based remote sensing image retrieval has attracted ...
Yichao Zhang +2 more
doaj +1 more source