An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare

no code implementations • 6 Aug 2020 • William Taylor, Syed Aziz Shah, Kia Dashtipour, Adnan Zahid, Qammer H. Abbasi, Muhammad Ali Imran

The dataset was used to create a machine learning model, which was used in a developed application to provide a quasi-real-time classification of standing or sitting state.

BIG-bench Machine Learning Human Activity Recognition +1

Learnability Can Be Independent of ZFC Axioms: Explanations and Implications

no code implementations • 16 Sep 2019 • William Taylor

In Ben-David et al.'s "Learnability Can Be Undecidable," they prove an independence result in theoretical machine learning.