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» Graph-Based Induction for General Graph Structured Data
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ACL
2007
13 years 8 months ago
Generalizing Tree Transformations for Inductive Dependency Parsing
Previous studies in data-driven dependency parsing have shown that tree transformations can improve parsing accuracy for specific parsers and data sets. We investigate to what ex...
Jens Nilsson, Joakim Nivre, Johan Hall
ICPR
2008
IEEE
14 years 1 months ago
An approximate algorithm for median graph computation using graph embedding
Graphs are powerful data structures that have many attractive properties for object representation. However, some basic operations are difficult to define and implement, for ins...
Miquel Ferrer, Ernest Valveny, Francesc Serratosa,...
SSPR
2000
Springer
13 years 11 months ago
Prototype Learning with Attributed Relational Graphs
An algorithm for learning structural patterns given in terms of Attributed Relational Graphs (ARG's) is presented. The algorithm, based on inductive learning methodologies, pr...
Pasquale Foggia, Roberto Genna, Mario Vento
AMC
2008
78views more  AMC 2008»
13 years 7 months ago
Information processing in complex networks: Graph entropy and information functionals
This paper introduces a general framework for defining the entropy of a graph. Our definition is based on a local information graph and on information functionals derived from the...
Matthias Dehmer
DIS
2005
Springer
14 years 27 days ago
Support Vector Inductive Logic Programming
Abstract. In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines (SVMs) and Inductive Logic Programming (ILP...
Stephen Muggleton, Huma Lodhi, Ata Amini, Michael ...