IEEE

Fast Transfer Learning Method Using Random Layer Freezing and Feature Refinement Strategy

Abstract: Recently, Moore-Penrose inverse (MPI)-based parameter fine-tuning of fully connected (FC) layers in pretrained deep convolutional neural networks (DCNNs) has emerged within the inductive ...
Edutopia

Making Use of a Worked Example to Improve Learning

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...
Phys.org

AI method accelerates liquid simulations by learning fundamental physical relationships

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
IEEE

An Efficient Inductive Learning Model for Inferring Gene Regulatory Networks

Abstract: Identifying gene regulatory networks (GRNs) from gene expression data has been a critical focus in systems biology. This paper proposes an efficient inductive learning framework based on a ...
Nature

Machine learning slashes the testing needed to work out battery lifetimes

Chao Hu is at the School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, Connecticut 06269, USA. The second category, data-driven lifetime prediction, uses ...