Lecture image placeholder

Premium content

Access to this content requires a subscription. You must be a premium user to view this content.

Monthly subscription - $9.99Pay per view - $4.99Access through your institutionLogin with Underline account
Need help?
Contact us
Lecture placeholder background
VIDEO DOI: https://doi.org/10.48448/hnd8-x324

technical paper

BRACIS 2021

November 30, 2021

Virtual, Brazil

Coarsening Algorithm via Semi-Synchronous Label Propagation for Bipartite Networks

Please log in to leave a comment

Downloads

SlidesPaperTranscript English (automatic)

Next from BRACIS 2021

Gradient Estimation in Model-Based Reinforcement Learning: a Study on Linear Quadratic Environments
technical paper

Gradient Estimation in Model-Based Reinforcement Learning: a Study on Linear Quadratic Environments

BRACIS 2021

Leliane de BarrosÂngelo Lovatto
Ângelo Lovatto and 2 other authors

30 November 2021

Similar lecture

A Contact Network-Based Approach for Online Planning of Containment Measures for COVID-19
technical paper

A Contact Network-Based Approach for Online Planning of Containment Measures for COVID-19

BRACIS 2020

Denis MauaLeliane de BarrosGuilherme Yambanis Thomaz
Guilherme Yambanis Thomaz and 2 other authors

21 October 2020