A game-theoretic framework for interpretable preference and feature learning

Polato, Mirko; Aiolli, Fabio

doi:10.1007/978-3-030-01418-6_65

A game-theoretic framework for interpretable preference and feature learning

Polato, Mirko;Aiolli, Fabio

2018

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Scheda completa

Scheda completa (DC)

	Anno
	
				2018
			
	Titolo del Libro
	
				Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
			
	Collana/serie monografica
	
				LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
			
	Titolo convegno
	
				27th International Conference on Artificial Neural Networks, ICANN 2018
			
	Codice DOI
	
				https://dx.doi.org/10.1007/978-3-030-01418-6_65
			
	Codice WOS
	
				WOS:000463336400065
			
	Codice Scopus
	
				2-s2.0-85054856770
			
	Codice ISBN
	
				9783030014179
			
	Appare nelle tipologie:
	
				04.01 - Contributo in atti di convegno