UMass Lowell

Seminar: "Machine Learning Tools for Handling Missing Data and Unbalanced Datasets" with Eleonora Maria Tronci, Tufts University, 3/3

Communities rely on critical infrastructures that connect and power our urban systems. Due to the dramatic changes in the world climate scenarios, these systems are subject to harsh loads and severe ...
JSTOR Daily

Entropy query by bagging-based active learning approach in the extreme learning machine framework for hyperspectral image classification

This is a preview. Log in through your library . Abstract Active learning (AL) technique is the classification of remote sensing images, where collecting efficient training data is costly in terms of ...
eWeek

Why Machine Learning Projects Fail – and How to Make Sure They Don’t

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...
EurekAlert!

Machine Learning Methods for Engineering Application Development

The chapters of “Machine Learning Methods for Engineering Application Development“ book are organized into five parts Machine Learning Essentials, Applied Machine Learning, Surveillance Systems, ...