In the previous session on logistic regression, we learned how to "draw a boundary line to separate white from black." However, there is a more intuitive way for AI to make decisions: "looking at the ...

Abstract: In multi-label learning, each instance in the training set is associated with a set of labels, and the task is to output a label set whose size is unknown a priori for each unseen instance.

The CPU and GPU confusion matrices are nearly identical. The prediction agreement between both implementations reached 99.82%, showing that the CUDA implementation preserved the classification ...

Abstract: In this article, we propose a scheme, named QuickN, which can efficiently and securely enable nearest neighbor search over encrypted data on untrusted clouds. Specifically, we modify the ...

Approximate nearest neighbor search (ANNS) in high-dimensional vector spaces has become increasingly crucial in database and machine learning applications. Most previous ANNS algorithms require ...

This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

In Delft, researchers at the Delft University of Technology have opened the nation’s first dedicated facility for studying ...

In a laboratory in Broomfield, Colorado, 98 atoms are suspended in midair, held in place by electric fields and cooled to temperatures close to absolute zero.