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109
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COLT
2004
Springer
15 years 8 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
ILP
1997
Springer
15 years 6 months ago
A Logical Framework for Graph Theoretical Decision Tree Learning
Abstract. We present a logical approach to graph theoretical learning that is based on using alphabetic substitutions for modelling graph morphisms. A classi ed graph is represente...
Peter Geibel, Fritz Wysotzki
112
Voted
CIMCA
2005
IEEE
15 years 8 months ago
Potentials and Limits of Graph-Algorithms for Discovering Ontology Patterns
The aim of the research presented in this paper is to contribute to reduction of development time for ontologies by discovering reusable parts and patterns. The approach is to use...
Christer Thörn, Orjan Eriksson, Eva Blomqvist...
ICDM
2002
IEEE
162views Data Mining» more  ICDM 2002»
15 years 7 months ago
Phrase-based Document Similarity Based on an Index Graph Model
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
Khaled M. Hammouda, Mohamed S. Kamel
117
Voted
ICIAP
1999
ACM
15 years 6 months ago
Bayesian Graph Edit Distance
ÐThis paper describes a novel framework for comparing and matching corrupted relational graphs. The paper develops the idea of edit-distance originally introduced for graph-matchi...
Richard Myers, Richard C. Wilson, Edwin R. Hancock