Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

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 ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

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 ...

On Overnights, there's great music and interesting guests from Australia and all parts of the globe. We acknowledge Aboriginal and Torres Strait Islander peoples as the First Australians and ...

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 ...

Sample transport medium interferes on direct RT-qPCR method. Sample dilution is a fast reliable method for SARS-CoV-2 detection. High concordance of direct RT-qPCR and reference extraction method (C T ...