High-performance KNN similarity functions in Python, optimized for sparse matrices ...

Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of Nadaraya-Watson kernel regression ...

SimilariPy provides a suite of normalization functions for sparse matrix pre-processing ... similarity models on a dataset with over 66 million interactions. Standard Python/Numpy solutions were too ...

This surprisingly entertaining film examines the 1975 fiscal crisis that nearly led the city to bankruptcy. The movie’s conclusions remain relevant today. By Alissa Wilkinson Tom Hardy is a ...

Objectives Osteoarthritis is a complex disease with a huge public health burden. Genome-wide association studies (GWAS) have identified hundreds of osteoarthritis-associated sequence variants, but the ...