Results 21 to 30 of about 7,640,907 (324)
A simple but effective method for Indonesian automatic text summarisation
Connection Science, 2022 Automatic text summarisation (ATS) (therein two main approaches–abstractive summarisation and extractive summarisation are involved) is an automatic procedure for extracting critical information from the text using a specific algorithm or method.
Nankai Lin, Jinxian Li, Shengyi Jiang
doaj +1 more source
IEEE Access, 2023 In this research, we present an innovative Quadratic Residual Multiplicative Filter Neural Network (QRMFNN) to effectively learn extremely complex sensor signals as a low-dimensional regression problem.
Mustafa Umut Demirezen
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Distributed multinomial regression [PDF]
, 2015 This article introduces a model-based approach to distributed computing for multinomial logistic (softmax) regression. We treat counts for each response category as independent Poisson regressions via plug-in estimates for fixed effects shared across ...
Taddy, Matt
core +2 more sources
Adaptive Huber Regression [PDF]
, 2018 Big data can easily be contaminated by outliers or contain variables with heavy-tailed distributions, which makes many conventional methods inadequate.
Fan, Jianqing, Sun, Qiang, Zhou, Wenxin
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Biometrika, 2016 We propose dual regression as an alternative to the quantile regression process for the global estimation of conditional distribution functions under minimal assumptions. Dual regression provides all the interpretational power of the quantile regression process while avoiding the need for repairing the intersecting conditional quantile surfaces that ...
Spady, RH, Stouli, Sami
openaire +6 more sources
Power curves prediction using empirical data regression on small scale compressed air energy storage
Journal of Mechanical Engineering and Sciences, 2019 The key to optimizing the system is to know the operating point of the system at the time of loading, or it is known as the power curve. However, to identify the power curve, the existing method is to model the mathematical of the system.
Widjonarko +3 more
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Turkish Journal of Agriculture: Food Science and Technology, 2020 Lumbar disc herniation (LDH) is a common cause of low back pain and radicular pain. The aim of our study was to evaluate the regression of LDH in patients who are considered to require surgical treatment but prefer conservative treatment.
Yener Akyuva +6 more
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Bayesian Linear Regression [PDF]
, 2009 The paper is concerned with Bayesian analysis under prior-data conflict, i.e. the situation when observed data are rather unexpected under the prior (and the sample size is not large enough to eliminate the influence of the prior).
Augustin, Thomas, Walter, Gero
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Tensor Regression Networks [PDF]
, 2020 Convolutional neural networks typically consist of many convolutional layers followed by one or more fully connected layers. While convolutional layers map between high-order activation tensors, the fully connected layers operate on flattened activation ...
Anandkumar, Anima +5 more
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Surrogate Modeling of MODTRAN Physical Radiative Transfer Code Using Deep-Learning Regression
Environmental Sciences Proceedings, 2023 Radiative Transfer Models (RTMs) are one of the major building blocks of remote-sensing data analysis that are widely used for various tasks such as atmospheric correction of satellite imagery.
Mohammad Aghdami-Nia +4 more
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