136 search results - page 12 / 28 » Learning probabilistic models of tree edit distance |
AUSAI
2004
Springer
15 years 3 months ago
2004
Springer
We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MM...
ACL
2003
14 years 11 months ago
2003
This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the r...
ACL
2009
14 years 7 months ago
2009
Current tree-to-tree models suffer from parsing errors as they usually use only 1best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model...
AAAI
2011
13 years 9 months ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
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ICDE
2006
IEEE
15 years 11 months ago
2006
IEEE
Graphs have become popular for modeling structured data. As a result, graph queries are becoming common and graph indexing has come to play an essential role in query processing. ...