Browsing by Subject "QR decomposition"
Now showing items 1-4 of 4
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(2022-11-30)Gaussian Process Regression (GPR) is a Bayesian non-parametric method widely used in machine learning for supervised learning. Compared to neural networks and support vector regressions, prediction using GPR provides one ...
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(2019-11-07)This thesis proposes conjugate stress/strain pairs, enables to derive constitutive equations without utilizing the invariant theory by using advantages of upper triangular decomposition, improvement for anisotropic materials. ...
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(2012-08-15)The aim of this work is to develop and validate a continuum model for the simulation of the thermomechanical response of a shape memory polymer (SMP). Rather than integral type viscoelastic model, the approach here is based ...
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(2016-07-20)Support Vector Machines (SVMs) is a popular method to solve standard machine learning tasks like classification, regression or clustering. There are many algorithms to solve the linear SVM classification problem. However, ...