Some key research questions structured machine learning View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2009-2012

FUNDING AMOUNT

320000 CNY

ABSTRACT

Machine Learning from structured data-rich internal structure structured learning hypothesis, it has become one of the most important research areas of artificial intelligence and knowledge processing, and its research is of great theoretical significance and application value. Structured machine learning research has made great progress, but there are shortcomings: lack for large-scale, heterogeneous, incomplete relational data and dynamic system of efficient, scalable models and learning methods; most learning and inference algorithm They are separated from each other; you can not make full use of the existing theoretical results solve new problems; the lack of a structured social learning methods. The project intends to focus on large-scale relational data multilevel / mixed models, migration learning methods, statistical methods found predicate for the decision-making sequence, learning incomplete relational data, combined with the depth of learning and reasoning methods; for large-scale, dynamic heterogeneous network data efficient, scalable, incremental collaboration / semi-supervised classification and link prediction algorithm; efficient social network structure learning methods. Implementation of the project to deepen the study of artificial intelligence, machine learning in promoting structural bioinformatics, social network analysis, Web search applications in areas such as mining and has very important significance. More... »

URL

http://npd.nsfc.gov.cn/projectDetail.action?pid=60973088

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