IEEE

A Method of Kernel Principal Component Analysis and Machine Learning Algorithms for Fault Diagnosis of Power Transformers

Abstract: As one of the most important equipment in the power system, it is of great significance to conduct fault diagnosis research on transformers. Aiming at the problem of difficult selection of ...
IEEE

Adaptive Kernel Optimization for Probabilistic Learning: Integrating Support Vector Machines with Gaussian Process Frameworks

Abstract: With its robust capabilities for non-linear regression and classification, kernel-based learning has emerged as a fundamental component of state-of-the-art machine learning approaches. In ...
STAT

NIH plans to slash support for indirect research costs, sending shockwaves through science

Jonathan Wosen is STAT’s West Coast biotech & life sciences reporter. You can reach Jonathan on Signal at jwosen.27. Megan Molteni reports on discoveries from the frontiers of genomic medicine, ...
Carnegie Institution for Science

The Drosophila Gateway™ Vector Collection

The Drosophila Gateway™ Vector collection is a set of 68 Gateway-based vectors designed to express epitope-tagged proteins in Drosophila culture cells or flies. At its core is Invitrogen's Gateway™ ...