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» Structured Relation Discovery using Generative Models
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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
16 years 24 days ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
KDD
2008
ACM
184views Data Mining» more  KDD 2008»
16 years 7 months ago
Joint latent topic models for text and citations
In this work, we address the problem of joint modeling of text and citations in the topic modeling framework. We present two different models called the Pairwise-Link-LDA and the ...
Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William...
EMSOFT
2008
Springer
15 years 8 months ago
Quantitative testing
We investigate the problem of specification based testing with dense sets of inputs and outputs, in particular with imprecision as they might occur due to errors in measurements, ...
Henrik C. Bohnenkamp, Mariëlle Stoelinga
202
Voted
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
15 years 12 months ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
IJSWIS
2007
171views more  IJSWIS 2007»
15 years 6 months ago
Experience in Aligning Anatomical Ontologies
An ontology is a formal representation of a domain modeling the entities in the domain and their relations. When a domain is represented by multiple ontologies, there is need for ...
Songmao Zhang, Olivier Bodenreider