ABSTRACT: It takes more time and is easier to fall into the local minimum value when using the traditional full-supervised learning algorithm to train RBFNN. Therefore, the paper proposes one ...

RNA interference using small interfering RNAs (siRNAs) has become a mainstay of functional gene characterization and has generated over a dozen FDA-approved therapeutics and drugs in late-stage ...

The INR repo currently compares many implicit network architectures for 2D image reconstruction. Add a KAN (Kolmogrov arnold networks ) implementation that uses Radial Basis Functions (RBFs instead of ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Coal is a solid combustible organic rock formed from the ...

Abstract: The growing demand for ultra-high-speed data transmission in short-reach optical interconnects exacerbates inter-symbol interference (ISI) and device-induced nonlinearities, presenting ...

In this work, we introduce a new method ability radial basic function-partial least square (RBF-PLS) with high accuracy and precision in QSPR studies. Three quantitative structure-propertty ...

ORLANDO, Fla. — Steering clinicians toward a cascade approach for thyroid function testing cut unnecessary orders by a monthly average of 15% and concurrent orders by 19% per month, according to ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...

Finite element human body model (HBM) positioning remains a challenge and automatic methods are essential to enable their effective use in a wide range of applications such as injury analysis in ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression using the C# language. NW kernel regression is simple to implement and is ...