Results 41 to 50 of about 16,323,319 (157)
Prediction of Gene Expression Patterns With Generalized Linear Regression Model
Frontiers in Genetics, 2019 Cell reprogramming has played important roles in medical science, such as tissue repair, organ reconstruction, disease treatment, new drug development, and new species breeding.
Shuai Liu +6 more
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Sparsifying Generalized Linear Models
Proceedings of the 56th Annual ACM Symposium on Theory of ComputingWe consider the sparsification of sums $F : \mathbb{R}^n \to \mathbb{R}$ where $F(x) = f_1(\langle a_1,x\rangle) + \cdots + f_m(\langle a_m,x\rangle)$ for vectors $a_1,\ldots,a_m \in \mathbb{R}^n$ and functions $f_1,\ldots,f_m : \mathbb{R} \to \mathbb{R}_+$.
Arun Jambulapati +3 more
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Regularization and Model Selection with Categorial Predictors and Effect Modifiers in Generalized Linear Models [PDF]
, 2012 We consider varying-coefficient models with categorial effect modifiers in the framework of generalized linear models. We distinguish between nominal and ordinal effect modifiers, and propose adequate Lasso-type regularization techniques that allow for ...
Gertheiss, Jan +2 more
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A generalized linear model of dynamics of thin elastic shells
Учёные записки Казанского университета: Серия Физико-математические науки, 2018 A generalized linear model of the dynamics of a thin elastic shell of constant thickness, which takes into account the rotation and compression of the fiber sheath normal to the middle surface, has been proposed.
E.Yu. Mihajlova +2 more
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Cross-Validated Functional Generalized Partially Linear Single-Functional Index Model
MathematicsIn this paper, we have introduced a functional approach for approximating nonparametric functions and coefficients in the presence of multivariate and functional predictors. By utilizing the Fisher scoring algorithm and the cross-validation technique, we
Mustapha Rachdi +4 more
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Text Data Analysis Using Generalized Linear Mixed Model and Bayesian Visualization
Axioms, 2022 Many parts of big data, such as web documents, online posts, papers, patents, and articles, are in text form. So, the analysis of text data in the big data domain is an important task.
Sunghae Jun
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Quantum Generalized Linear Models
CoRR, 2019 Generalized linear models (GLM) are link function based statistical models. Many supervised learning algorithms are extensions of GLMs and have link functions built into the algorithm to model different outcome distributions. There are two major drawbacks when using this approach in applications using real world datasets.
Colleen M. Farrelly +2 more
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Generative Model With Dynamic Linear Flow [PDF]
IEEE Access, 2019 12 pages, 7 ...
Huadong Liao +2 more
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Local Influence for the Thin-Plate Spline Generalized Linear Model
AxiomsThin-Plate Spline Generalized Linear Models (TPS-GLMs) are an extension of Semiparametric Generalized Linear Models (SGLMs), because they allow a smoothing spline to be extended to two or more dimensions.
Germán Ibacache-Pulgar +3 more
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Generalized Maximum Entropy Analysis of the Linear Simultaneous Equations Model
Entropy, 2014 A generalized maximum entropy estimator is developed for the linear simultaneous equations model. Monte Carlo sampling experiments are used to evaluate the estimator’s performance in small and medium sized samples, suggesting contexts in which the ...
Thomas L. Marsh +2 more
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