Feature Extraction of Game Plays for Procedural Play Generation

Autor:	Ruck Thawonmas, Ayumu Shinya, Kazuki Mori, Tomohiro Harada
Rok vydání:	2017
Předmět:	Engineering business.industry Feature extraction ComputingMilieux_PERSONALCOMPUTING Artificial intelligence Recommender system business Game play Machine learning computer.software_genre computer
Zdroj:	2017 Nicograph International (NicoInt).
DOI:	10.1109/nicoint.2017.37
Popis:	This paper proposes a feature extraction method from a game play (play). To recommend plays to spectators, such feature extraction is required. Our results show that the proposed method successfully extracted features from plays.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4796b4d02e843ced642f6a13a3b3f792 https://doi.org/10.1109/nicoint.2017.37 Zobrazit plný text záznamu