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Robust Loss Functions for Boosting

Neural Computation, 2007
Boosting is known as a gradient descent algorithm over loss functions. It is often pointed out that the typical boosting algorithm, Adaboost, is highly affected by outliers. In this letter, loss functions for robust boosting are studied. Based on the concept of robust statistics, we propose a transformation of loss functions that makes boosting ...
Kanamori, Takafumi   +3 more
openaire   +2 more sources

A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics

Computational Mechanics, 2022
Jinshuai Bai   +4 more
semanticscholar   +1 more source

Physiologic functional imaging in “functional” visual loss

Survey of Ophthalmology, 1996
Neuroimaging with nuclear medicine techniques permits assessment of brain function by measurement of metabolism or blood flow. Such studies complement the anatomic information derived from computed tomography (CT) or magnetic resonance imaging (MRI).
Jonathan Wirtschafter   +3 more
openaire   +2 more sources

Loss functions for Loss Given Default model comparison

European Journal of Operational Research, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hurlin, Christophe   +2 more
openaire   +2 more sources

A novel loss function of deep learning in wind speed forecasting

, 2022
Xi Chen   +9 more
semanticscholar   +1 more source

ILF-LSTM: enhanced loss function in LSTM to predict the sea surface temperature

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2022
B. Usharani
semanticscholar   +1 more source

Loss Function

2001
Saul I. Gass, Carl M. Harris
  +4 more sources

Segmentation of teeth in panoramic dental X-ray images using U-Net with a loss function weighted on the tooth edge

Radiological Physics and Technology, 2021
Yuya Nishitani   +4 more
semanticscholar   +1 more source

Laminin: loss-of-function studies

Cellular and Molecular Life Sciences, 2016
Laminin, one of the most widely expressed extracellular matrix proteins, exerts many important functions in multiple organs/systems and at various developmental stages. Although its critical roles in embryonic development have been demonstrated, laminin's functions at later stages remain largely unknown, mainly due to its intrinsic complexity and lack ...
openaire   +2 more sources

Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function

Computer Vision and Pattern Recognition, 2016
De Cheng   +4 more
semanticscholar   +1 more source

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