Cargando…
Multi-Objective Multi-Instance Learning: A New Approach to Machine Learning for eSports
The aim of this study is to develop a new approach to be able to correctly predict the outcome of electronic sports (eSports) matches using machine learning methods. Previous research has emphasized player-centric prediction and has used standard (single-instance) classification techniques. However,...
Autores principales: | Birant, Kokten Ulas, Birant, Derya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858424/ https://www.ncbi.nlm.nih.gov/pubmed/36673169 http://dx.doi.org/10.3390/e25010028 |
Ejemplares similares
-
Semi-Supervised k-Star (SSS): A Machine Learning Method with a Novel Holo-Training Approach
por: Birant, Kokten Ulas
Publicado: (2023) -
Machine learning for fault analysis in rotating machinery: A comprehensive review
por: Das, Oguzhan, et al.
Publicado: (2023) -
Shelf Auditing Based on Image Classification Using Semi-Supervised Deep Learning to Increase On-Shelf Availability in Grocery Stores
por: Yilmazer, Ramiz, et al.
Publicado: (2021) -
Editorial: eSports and digitalization of sports
por: van Hilvoorde, Ivo
Publicado: (2022) -
Demographics and Health Behavior of Video Game and eSports Players in Germany: The eSports Study 2019
por: Rudolf, Kevin, et al.
Publicado: (2020)