IEEE

Representation Transfer Learning via Multiple Pre-Trained Models for Linear Regression

Abstract: In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of ...
Scientific Research Publishing

Theil, H. (1950) A Rank-Invariant Method of Linear and Polynomial Regression Analysis. Indagationes Mathematicae, 12, 173.

ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...
IEEE

Enabling Privacy-Preserving Parallel Computation of Linear Regression in Edge Computing Networks

Abstract: Linear regression is a classical statistical model with a wide range of applications. The function of linear regression is to predict the value of a dependent variable (the output) given an ...
marktechpost

Predicting Sustainable Development Goals (SDG) Scores by 2030: A Machine Learning Approach with ARIMAX and Linear Regression Models

Forecasting Sustainable Development Goals (SDG) Scores by 2030: The Sustainable Development Goals (SDGs) set by the United Nations aim to eradicate poverty, protect the environment, combat climate ...
thetechedvocate.org

How to calculate regression equation by hand

Since technology is not going anywhere and does more good than harm, adapting is the best course of action. That is where The Tech Edvocate comes in. We plan to cover the PreK-12 and Higher Education ...
Scientific Research Publishing

Schmidt, A. F., & Finan, C. (2018). Linear Regression and the Normality Assumption. Journal of Clinical Epidemiology, 98, 146-151.

ABSTRACT: Corporate Payout policy is one of the interesting topics in corporate finance literature that attracted the attention of many researchers. Despite the extensive research in this area, there ...