66 search results - page 9 / 14 » Learning to Explain Entity Relationships in Knowledge Graphs |
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ICML
2005
IEEE
16 years 14 hour ago
2005
IEEE
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...
SDM
2009
SIAM
15 years 8 months ago
2009
SIAM
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
ICDM
2006
IEEE
15 years 5 months ago
2006
IEEE
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
APWEB
2010
Springer
15 years 2 months ago
2010
Springer
To help users answer the question, what is the relation between (real world) entities or concepts, we might need to go well beyond the borders of traditional information retrieval ...
ICVS
2003
Springer
15 years 4 months ago
2003
Springer
This paper presents an extensible architectural model for general content-based analysis and indexing of video data which can be customised for a given problem domain. Video interp...