246 search results - page 12 / 50 » Graph Structure Learning for Task Ordering |
SAINT
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper discusses a methodology for applying general-purpose first-order inductive learning to extract information from Web documents structured as unranked ordered trees. The...
ICCS
2001
Springer
15 years 2 months ago
2001
Springer
Automatically generating Conceptual Graphs (CGs) [1] from natural language sentences is a difficult task in using CG as a semantic (knowledge) representation language for natural l...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
104
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CVIU
2011
14 years 1 months ago
2011
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
104
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SDM
2012
SIAM
13 years 11 days ago
2012
SIAM
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...