Key Points No one tool is going to suit every organization. Make sure to try everything before committing to a software suite ...

Abstract: In this article, we propose a new linear regression (LR ... to learn an intrinsic graph. Moreover, DRAGD provides a new way to simultaneously capture the local geometric structure and ...

First, the model adopts tensor canonical polyadic (CP) decomposition to learn two dictionaries from spatial and spectral directions, respectively, which can help to generate a double dictionary ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

developed to explore high-performance graph algorithms and data structures. Aims to provide a flexible interface for creating, manipulating, and analyzing complex networks with a focus on performance ...