IEEE

The classification of functions of unbounded variation on closed intervals

Abstract: The present paper mainly discuss the classification of continuous and discontinuous functions of unbounded variation on closed intervals. The classification of functions of bounded variation ...
marktechpost

Training Value Functions via Classification for Scalable Deep Reinforcement Learning: Study by Google DeepMind Researchers and Others

Value functions are a core component of deep reinforcement learning (RL). Value functions, implemented with neural networks, undergo training via mean squared error ...
Scientific Research Publishing

Orr, S.A. (2005) Functions-Based Classification of Records: Is It Functional? Master Thesis, University of Northumbria, Newcastle.

ABSTRACT: Classification is a key element of records management initiatives, ensuring systematic organization of documents and facilitates information retrieval. Records management initiatives are ...
GitHub

Aymen016/Activation-Functions-In-Perceptrons

This repository contains the implementation of Perceptron models using various activation functions. The project explores the importance of activation functions in the training of neural networks, ...