Results 41 to 50 of about 1,474,880 (186)

Sparsifying Generalized Linear Models

Proceedings of the 56th Annual ACM Symposium on Theory of Computing
We 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, James R. Lee, Yang P. Liu, Aaron Sidford   +3 more
openaire   +2 more sources

Generalized linear models

, 2015
AbstractGeneralized Linear Modeling (GLM) unifies several statistical techniques, providing a stable and modular foundation on which to build a useful working knowledge of statistical modeling. GLMs enable a re-interpretation of previously learned ANOVA and regression techniques and integrate well with more advanced modeling techniques introduced in ...
  +6 more sources

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, D.V. Tarlakovskii, G.V. Fedotenkov   +2 more
doaj  

Cross-Validated Functional Generalized Partially Linear Single-Functional Index Model

Mathematics
In 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, Mohamed Alahiane, Idir Ouassou, Abdelaziz Alahiane, Lahoucine Hobbad   +4 more
doaj   +1 more source

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
doaj   +1 more source

Generalized Perceptual Linear Prediction (gPLP) Features for Animal Vocalization Analysis [PDF]

, 2006
A new feature extraction model, generalized perceptual linear prediction (gPLP), is developed to calculate a set of perceptually relevant features for digital signal analysis of animalvocalizations.
Clemins, Patrick J., Johnson, Michael T.
core   +1 more source

Properties of linear integral equations related to the six-vertex model with disorder parameter

, 2010
One of the key steps in recent work on the correlation functions of the XXZ chain was to regularize the underlying six-vertex model by a disorder parameter $\alpha$.
Boos, Hermann, Göhmann, Frank
core   +2 more sources

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, Ron Mittelhammer, Nicholas Scott Cardell   +2 more
doaj   +1 more source

Aging and fluctuation-dissipation ratio in a nonequilibrium $q$-state lattice model

, 2010
A generalized version of the nonequilibrium linear Glauber model with $q$ states in $d$ dimensions is introduced and analyzed. The model is fully symmetric, its dynamics being invariant under all permutations of the $q$ states.
de Oliveira, M. J., Hase, M. O., Tomé, T.   +2 more
core   +1 more source

Local Influence for the Thin-Plate Spline Generalized Linear Model

Axioms
Thin-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, Pablo Pacheco, Orietta Nicolis, Miguel Angel Uribe-Opazo   +3 more
doaj   +1 more source