Abstract
The overall goal of this research is to explore semi-supervised learning algorithms and to findconstraints in such a way that it is possible to classify, with high confidence, a subset of examplesfrom the pool of unlabelled examples.
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Jean Metz
CV Lattes
Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
bachelor's at Ciência da Computação from Universidade Estadual do Oeste do Paraná (2003) and master's at Computer Science from Universidade de São Paulo (2006). Has experience in Computer Science, acting on the following subjects: aquisição de dados, clustering hierárquico, biomecânica, energia total de ruptura and bioinformática. (Source: Lattes Curriculum)
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Scholarships in Brazil
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