Autor:	Ivan Brugere
Rok vydání:	2015
Předmět:	business.industry Computer science Nonparametric statistics Inference Topology (electrical circuits) Context (language use) Observable Machine learning computer.software_genre Graph Data modeling Graph inference Artificial intelligence business computer
Zdroj:	ICDM Workshops
DOI:	10.1109/icdmw.2015.224
Popis:	Graphs are a fundamental model to describe complex statistical relationships over many scientific domains. In this context, graphs are commonly used to investigate relational phenomena which are not directly observable. Our work formulates a Latent Network Inference problem and develops inference methods in a common context for scientific applications where there is an absence of ground truth.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bf34d26a31370fed59114f0c32c25251 https://doi.org/10.1109/icdmw.2015.224 Zobrazit plný text záznamu