We all read faces to know how people are reacting to what we are saying or presenting....
Learning
Photo by Markus Winkler on Unsplash Ah, machine learning. The realm of super-intelligent algorithms, robots that write...
Edge based Schwarz methods for the Crouzeix-Raviart finite volume element discretization of elliptic problems(arXiv) Author : Atle...
An Approximation of Local Antiderivatives of Relative Differential on Arithmetic Surface(arXiv) Author : Yuhan Zha Abstract :...
R, a programming language and environment designed specifically for statistical computing and graphics, offers a compelling suite...
Introduction The quest for robust, accurate, and reliable models in machine learning is perennial. As a practitioner,...
Confidence disc and square for Cauchy distributions(arXiv) Author : Yuichi Akaoka, Kazuki Okamura, Yoshiki Otobe Abstract :...
The modeling of the machine learning system is an iterative process, Similar to machine learning modeling, the...
Machine Learning Models: Machine learning models can be classified into Supervised and Unsupervised machine learning models. It...
Wasserstein F-tests for FrΓ©chet regression on Bures-Wasserstein manifolds(arXiv) Author : Haoshu Xu, Hongzhe Li Abstract : This...