Results 271 to 280 of about 263,469 (298)

Comparing loss of balance and functional capacity among patients with SCA2, SCA3 and SCA10

Clinical Neurology and Neurosurgery, 2022
Spinocerebellar ataxia (SCA) presents different rates of functional decline depending on the type of ataxia.To compare the progression of disability, imbalance and severity of ataxia in patients with the three most common types of SCA in southern Brazil.126 patients (31-SCA2, 58-SCA3 and 37-SCA10) were stratified into four groups based on disease ...
Marise Bueno, Zonta, Hélio A G, Teive, Carlos Henrique F, Camargo, Alex T, Meira, Francisco Diego Negrão, Lopes Neto, Fernando Spina, Tensini, Cláudia Bonfim, Braga, Tetsuo, Ashizawa, Renato P, Munhoz   +8 more
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SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression

Proceedings of the AAAI Conference on Artificial Intelligence
Ordinal regression classifies an object to a class out of a given set of possible classes, where labels possess a natural order. It is relevant to a wide array of domains including risk assessment, sentiment analysis, image ranking, and recommender systems. Like common classification, the primary goal of ordinal regression is accuracy. Yet, in this
Inbar Nachmani, Bar Genossar, Coral Scharf, Roee Shraga, Avigdor Gal   +4 more
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Balance-batch: An Optimized Method for Semantic Segmentation Loss Functions

2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL), 2020
Class-imbalanced data easily generates under-fitting problems in deep neural networks, which seriously limits the performance of the network. Several schemes have been proposed to alleviate the class-imbalance, i.e., data augmentation and network structure optimization. Our work has two main contributions: First, we proposed an optimized method Balance-
Yifeng Huang, Zhirong Tang, Kaixiong Su
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Does the hearing loss affect the balance function in children?

2021
Introduction. Childhood hearing impairment is a common condition that may significantly impact speech, social and physical development. Based on literature data, 80% of children with SNHL (sensorineural hearing loss) and MEE (middle ear effusion) may suffer from balance control deficits.Despite the fact that, vestibular impairment can lead to balance ...
Jaraitė, Goda, Kuzminienė, Alina, Balsevičius, Tomas, Ulozienė, Ingrida, Ulozas, Virgilijus   +4 more
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A note on Pitman's measure of closeness with balanced loss function

Statistics, 2012
In this note, we consider the problem of estimating an unknown parameter θ in the sense of the Pitman's measure of closeness (PMC) using the balanced loss function (BLF). We show that the PMC comparison of estimators under the BLF can be reduced to the PMC comparison under the usual absolute error loss. The Pitman-closest estimators of the location and
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Constrained Bayes and Empirical Bayes Estimation with Balanced Loss Functions

Communications in Statistics - Theory and Methods, 2007
This article develops constrained Bayes and empirical Bayes estimators under balanced loss functions. In the normal-normal example, estimators of the mean squared errors of the EB and constrained EB estimators are provided which are correct asymptotically up to O(m −1), m denoting the number of strata.
Malay Ghosh, Myung Joon Kim, Dalho Kim
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On Bayes Linear Unbiased Estimator Under the Balanced Loss Function

Communications in Statistics - Theory and Methods, 2014
In this paper, the Bayes linear unbiased estimator (Bayes LUE) is derived under the balanced loss function. Moreover, the superiority of Bayes LUE over ordinary least square estimator is studied under the mean square error matrix criterion and Pitman closeness criterion.
Hongbing Qiu, Ji Luo, Shurong Zheng
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Balanced Ridge Estimator of Coefficient in Linear Model under a Balanced Loss Function (I)

2011
Based on the conception of Zellner’s Balanced Loss, considering the goodness of fitting and the accuracy of Ridge Estimator. the paper constructed the balanced loss function and put forward Balanced Ridge estimation of coefficient in linear model, also obtained the property of Balanced Ridge Estimator superior to Least Squares Estimator and ...
Wenke xu, Fengri Li
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Inadmissibility of the Stein-rule estimator under the balanced loss function

Journal of Econometrics, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A General Class of Minimax Shrinkage Estimators Under the Balanced Loss Function

Journal of Statistical Theory and Practice
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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