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Unsupervised multi-view learning in incremental hierarchical clustering of text documents

Grant number: 10/20564-8
Support Opportunities:Scholarships in Brazil - Doctorate
Effective date (Start): June 01, 2011
Effective date (End): February 28, 2013
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal Investigator:Solange Oliveira Rezende
Grantee:Ricardo Marcondes Marcacini
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SINOARA, ROBERTA A.; SUNDERMANN, CAMILA V.; MARCACINI, RICARDO M.; DOMINGUES, MARCOS A.; REZENDE, SOLANGE O.; ALMEIDA, A; BERNARDINO, J; GOMES, EF. Named Entities as Privileged Information for Hierarchical Text Clustering. PROCEEDINGS OF THE 18TH INTERNATIONAL DATABASE ENGINEERING AND APPLICATIONS SYMPOSIUM (IDEAS14), v. N/A, p. 10-pg., . (13/16039-3, 13/14757-6, 10/20564-8, 12/13830-9)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
MARCACINI, Ricardo Marcondes. Machine learning with privileged information: approaches for hierarchical text clustering. 2014. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.

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