Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...

Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed ...

Ben Madadi - an individual investor with a consistent and highly visible presence in the Romanian capital market for more ...

Researchers have developed a nanoparticle platform that can deliver mRNA therapy to affected cartilage based on ...

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...

Warren Buffett's success stems from frugality and simplicity, living modestly despite immense wealth, exemplified by long-term residence and second-hand car purchases. He emphasises kindness and ...

Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At its ...

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...

Ryan Eichler holds a B.S.B.A with a concentration in Finance from Boston University. He has held positions in, and has deep experience with, expense auditing, personal finance, real estate, as well as ...

Michael Boyle is an experienced financial professional with more than 10 years working with financial planning, derivatives, equities, fixed income, project management, and analytics. Suzanne is a ...