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» Modeling Relational Data by the Adjacency Model
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NIPS
2004
13 years 10 months ago
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, ...
ICCSA
2007
Springer
14 years 3 months ago
Modeling Origami for Computational Construction and Beyond
Computational origami is the computer assisted study of origami as a branch of science of shapes. The origami construction is a countably finite sequence of fold steps, each consi...
Tetsuo Ida, Hidekazu Takahashi, Mircea Marin, Fado...
ER
2000
Springer
134views Database» more  ER 2000»
14 years 19 days ago
Data Warehouse Scenarios for Model Management
Model management is a framework for supporting meta-data related applications where models and mappings are manipulated as first class objects using operations such as Match, Merge...
Philip A. Bernstein, Erhard Rahm
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
14 years 3 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
ACL
2011
13 years 19 days ago
Automatically Evaluating Text Coherence Using Discourse Relations
We present a novel model to represent and assess the discourse coherence of text. Our model assumes that coherent text implicitly favors certain types of discourse relation transi...
Ziheng Lin, Hwee Tou Ng, Min-Yen Kan