Results 11 to 20 of about 2,787,379 (259)

A Case for Soft Loss Functions [PDF]

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2020
Recently, Peterson et al. provided evidence of the benefits of using probabilistic soft labels generated from crowd annotations for training a computer vision model, showing that using such labels maximizes performance of the models over unseen data. In this paper, we generalize these results by showing that training with soft labels is an effective ...
Uma, Alexandra, Fornaciari, Tommaso, Hovy, Dirk, Paun, Silviu, Plank, Barbara, Poesio, Massimo   +5 more
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Functional Visual Loss [PDF]

Neurologic Clinics, 2010
Neurologists frequently evaluate patients complaining of vision loss, especially when the patient has been examined by an ophthalmologist who has found no ocular disease. A significant proportion of patients presenting to the neurologist with visual complaints have nonorganic or functional visual loss. Although there are examination techniques that can
Beau B, Bruce, Nancy J, Newman
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Stochastic Loss Function

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Training deep neural networks is inherently subject to the predefined and fixed loss functions during optimizing. To improve learning efficiency, we develop Stochastic Loss Function (SLF) to dynamically and automatically generating appropriate gradients to train deep networks in the same round of back-propagation, while maintaining the completeness and
Qingliang Liu 0002, Jinmei Lai
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Loss functions for finite sets

Computational Optimization and Applications, 2022
This paper studies loss functions for finite sets. For a given finite set $S$, we give sum-of-square type loss functions of minimum degree. When $S$ is the vertex set of a standard simplex, we show such loss functions have no spurious minimizers (i.e., every local minimizer is a global one). Up to transformations, we give similar loss functions without
Jiawang Nie, Suhan Zhong
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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, Vikas Pejaver, Guan Ning Lin, Hyun-Jun Nam, Matthew E. Mort, David N. Cooper, Jonathan Sebat, Lilia M. Iakoucheva, Sean D. Mooney, Predrag Radivojac   +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, DE VITO, ERNESTO, A. CAPONNETTO, PIANA, MICHELE, VERRI, ALESSANDRO   +4 more
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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

An Effective and Comprehensive Image Super Resolution Algorithm Combined With a Novel Convolutional Neural Network and Wavelet Transform

IEEE Access, 2021
In order to further improve the reconstruction effect of the image super resolution algorithm, this paper proposes an image super resolution algorithm combining deep learning and wavelet transform (ISRDW).
Hui Yang, Yibo Wang
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RESEARCH ON MAIZE STEM RECOGNITION BASED ON MACHINE VISION [PDF]

Engenharia Agrícola
Fertilization at the large bell stage of maize is the key to increasing maize yield and improving fertilizer use efficiency. To achieve fast and accurate recognition of maize stems by intelligent agricultural equipment in complex field environments, an ...
Minghao Liu, Xiangcai Zhang, Xianliang Wang, Zhongcai Wei, Xiupei Cheng   +4 more
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Will Climate Change Exacerbate the Economic Damage of Flood to Agricultural Production? A Case Study of Rice in Ha Tinh Province, Vietnam

Frontiers in Environmental Science, 2021
In developing countries in general and in Vietnam in particular, flood induced economic loss of agriculture is a serious concern since the livelihood of large populations depends on agricultural production.
Pham Quy Giang, Tran Trung Vy
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