Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

Department of Public Health Sciences, A210 Penn State College of Medicine 600 Centerview Drive, Suite 2200 Hershey, Pennsylvania 17033-0855, United States Article Views are the COUNTER-compliant sum ...

Python allows free creation of plots, unlike expensive, stagnant graphing calculators. Import NumPy and Matplotlib for basic ...

Abstract: This work presents a novel mathematical framework of a machine learning algorithm for linear regression under non-Gaussian estimation noise. The Laplacian noise is selected as a contender ...

Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering ...

This paper addresses a valuable research question on the heritability of the brain's response to movie watching, given various parameters such as regional spatial hyperalignment and BOLD frequency ...

Speed Responsiveness is the best-fitting linear slope of the radial eye speed as a function of ... Main Sequence Intercept (deg/s) is the best-fitting linear-regression intercept of the main sequence ...

Journal of Nuclear Medicine April 2025, jnumed.124.268706; DOI: https://doi.org/10.2967/jnumed.124.268706 ...

Pearson’s correlation coefficient was used to evaluate the relationship between two variables, and the significance of the regression slope was assessed using the t-statistic. All statistical analyses ...