1 Laboratory of Bioinformatics and Systems, Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil 2 Laboratory of Bioinformatics, Visualization and Systems, ...

Henry (@henrymoss) and I spotted a strange implementation detail about the stationary kernel. In gpjax/kernels/stationary/utils.py, the helper function def euclidean ...

Machine learning has expanded beyond traditional Euclidean spaces in recent years, exploring representations in more complex geometric structures. Non-Euclidean representation learning is a growing ...

KEYWORDS: Vehicle Routing Problem (VRP), Google Maps Distance Matrix API, Python, Pulp, Mixed Integer Linear Programming, Transportation, Optimisation Problem, Time Window, Mathematical Modelling ...

ABSTRACT: Purpose: This study describes a machine-learning approach utilizing patients' anatomical changes to predict parotid mean dose changes in fractionated radiotherapy for head-and-neck cancer, ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

This Repo has a series of examples which show how model requests and responses to the Icepack API can be constructed and interpreted using a few different languages.

Abstract: This paper addresses the application of missing data recovery via matrix completion for audio sensor networks. We propose a method based on Euclidean distance matrix completion for ad-hoc ...