Results 41 to 50 of about 3,028,772 (307)
Performance of preliminary test estimator under linex loss function [PDF]
, 2009 This paper studies the performance of the unrestricted estimator (UE) and preliminary test estimator (PTE) of the slope parameter of simple linear regression model under linex loss function. The risk functions of both the UE and PTE are derived.
Hoque, Zahirul +2 more
core +1 more source
Deep Learning Techniques for Vehicle Detection and Classification from Images/Videos: A Survey
Sensors, 2023 Detecting and classifying vehicles as objects from images and videos is challenging in appearance-based representation, yet plays a significant role in the substantial real-time applications of Intelligent Transportation Systems (ITSs).
Michael Abebe Berwo +7 more
doaj +1 more source
Retail commodity detection method based on location learnable visual center mechanism
物联网学报, 2023 To address the problem of low detection accuracy caused by the difficulty in effectively capturing significant and diversified feature information for packaging deformation and overlap products, a location learnable visual center (LLVC) mechanism was ...
Xiaohua LYU, Mingchen WEI, Libo LIU
doaj
Loss-of-function variants of the filaggrin gene are associated with atopic eczema and associated phenotypes in Swedish families [PDF]
, 2008 Recent studies have identified 2 loss-of-function variants, R501X and 2282del4, in the filaggrin gene as predisposing factors in the development of eczema.
Link, Jenny +15 more
core +1 more source
Parallel loss-of-function at the RPM1 bacterial resistance locus in Arabidopsis thaliana [PDF]
, 2012 Dimorphism at the Resistance to Pseudomonas syringae pv. maculicola 1 (RPM1) locus is well documented in natural populations of Arabidopsis thaliana and has been portrayed as a long-term balanced polymorphism. The haplotype from resistant plants contains
Grant, Murray +11 more
core +1 more source
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
openaire +1 more source
Handling negative mentions on social media channels using deep learning
Journal of Information and Telecommunication, 2019 Social media channels such as social networks, forum or online blogs have been emerging as major sources from which brands can gather user opinions about their products, especially the negative mentions.
Khuong Vo +6 more
doaj +1 more source
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)
openaire +3 more sources
Mask RCNN-based Single Shot Multibox Detector For Gesture Recognition In Physical Education
Journal of Applied Science and Engineering, 2022 Human-computer interaction (HCI) is an important supporting technology in the computer vision area, especially in physical education. HCI can promote the efficiency of physical education class, which is of great help to improve the learning efficiency ...
Tao Feng
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source