scholar.google.com › citations
To assist researchers in the task of identifying novel nonlinear models, we propose a stochastic local search method that constructs equations iteratively.
Mar 27, 2014 · Full Title: Automated Nonlinear Regression Modeling for HCI Authors: Antti Oulasvirta Abstract: Predictive models in HCI, such as models of ...
This paper has presented a proof-of-concept for automated nonlinear regression modeling in HCI. It builds on the ob- servation that many HCI problems involve a ...
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...
May 4, 2014 · This document proposes an automated method for acquiring nonlinear regression models to support model building in human-computer interaction ...
People also ask
Which regression model is best for non-linear data?
What is an example of a nonlinear regression?
How to model a non-linear relationship?
What is the method of nonlinear regression?
Automated nonlinear regression modeling for HCI. Article. Apr 2014. Antti Oulasvirta. Predictive models in HCI, such as models of user ...
$119.74 In stock Rating
(1)
This book details methods of nonlinear regression, computational algorithms,model validation, interpretation of residuals, and useful experimental design.
Missing: HCI. | Show results with:HCI.
Mar 15, 2024 · We summarize, illustrate, develop, and extend nonlinear modelling methods, and underscore caveats of Wald statistics using basic illustrations.
A nonlinear regression model of hazard perception was built based on the experimental results. A case study has shown that the model can effectively reflect ...
Nov 21, 2024 · In HCI we often encounter dependent variables which are not (conditionally) normally distributed: we measure response-times, mouse-clicks, ...