Results 31 to 40 of about 3,028,772 (307)
When loss-of-function is loss of function: assessing mutational signatures and impact of loss-of-function genetic variants [PDF]
Bioinformatics, 2017 Abstract Motivation Loss-of-function genetic variants are frequently associated with severe clinical phenotypes, yet many are present in the genomes of healthy individuals. The available methods to assess the impact of these variants rely primarily upon evolutionary conservation with little to no ...
Kymberleigh A. Pagel +9 more
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Are Loss Functions All the Same? [PDF]
Neural Computation, 2004 In this letter, we investigate the impact of choosing different loss functions from the viewpoint of statistical learning theory. We introduce a convexity assumption, which is met by all loss functions commonly used in the literature, and study how the bound on the estimation error changes with the loss.
ROSASCO, LORENZO +4 more
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Loss function for image segmentation [PDF]
, 2022 openQuesta trattazione si pone due obiettivi: Il primo obiettivo consiste nell’analisi del comportamento di una rete neurale volta alla segmentazione di immagini di polipi al colon, ovvero il processo di delineare e discriminare accuratamente la regione ...
LORENZON, NICOLA
core
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
core +1 more source
Inverted exponential distribution as a life distribution model from a Bayesian viewpoint
Data Science Journal, 2007 The Inverted Exponential Distribution is studied as a prospective life distribution. In this paper, we derive Bayes' estimators for the parameter θ of inverted exponential distribution.
Sanku Dey
doaj +1 more source
ICIoU: Improved Loss Based on Complete Intersection Over Union for Bounding Box Regression
IEEE Access, 2021 An object detector based on convolutional neural network (CNN) has been widely used in the field of computer vision because of its simplicity and efficiency.
Xufei Wang, Jeongyoung Song
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Safety Maintains Lean Sustainability and Increases Performance through Fault Control
Applied Sciences, 2020 Almost every industrial and service enterprise adopts some form of Environmental Health and Safety (HSE) practices. However, there is no unified measurement implementation framework to resist losses exacerbated due to the “lack of safety precautions ...
Samia Elattar +2 more
doaj +1 more source
Loss-of-function phenotypes of melanogenesis genes across vertebrates.
, 2022 Loss-of-function phenotypes of melanogenesis genes across vertebrates.
Hunter C. Meyers (13982916) +7 more
core +1 more source
Tomato Leaf Disease Identification Method Based on Improved YOLOX
Agronomy, 2023 In tomato leaf disease identification tasks, the high cost and consumption of deep learning-based recognition methods affect their deployment and application on embedded devices.
Wenbo Liu, Yongsen Zhai, Yu Xia
doaj +1 more source