Complex traits are influenced by genes and the environment, but especially the latter is difficult to pin down. This important study uses C. elegans to demonstrate that non-genetic differences in gene ...

This study provides a valuable extension of credibility-based learning research by showing how feedback reliability can distort reward-learning biases in a disinformation-like bandit task. Although ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression ...

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

Abstract: In this paper, we study an optimization problem of minimizing a linear function subject to fuzzy relational inequalities with the addition-min composition. This optimization setting has ...

Abstract: This paper presents a new algorithm to obtain reduced-order model of linear periodically time-varying (LPTV ... by the time-dependent derivatives (or moments) of the transfer function. We ...

The linear model is a modelling workhorse for data analyses commonly referred to in the social and behavioural sciences as regression analysis and is an essential building block towards more advanced ...

Weekend Evenings across Australia with music and great chats. We acknowledge Aboriginal and Torres Strait Islander peoples as the First Australians and Traditional Custodians of the lands where we ...

The assay was conducted in triplicates, The V max and K m were estimated through the linear regression plots of Lineweaver and Burk ... To verify the kinetic model of free fluoride release from ...