90 search results - page 1 / 18 » A Recursive Method for Structural Learning of Directed Acycl... |
JMLR
2008
13 years 4 months ago
2008
In this paper, we propose a recursive method for structural learning of directed acyclic graphs (DAGs), in which a problem of structural learning for a large DAG is first decompos...
WIRN
2005
Springer
13 years 10 months ago
2005
Springer
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
ACL
2003
13 years 5 months ago
2003
This paper proposes the “Hierarchical Directed Acyclic Graph (HDAG) Kernel” for structured natural language data. The HDAG Kernel directly accepts several levels of both chunk...
IJCNN
2007
IEEE
13 years 10 months ago
2007
IEEE
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Although many algorithms have been designed to construct Bayesian network structures using different approaches and principles, they all employ only two methods: those based on i...