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ICML
2007
IEEE
16 years 7 months ago
Modeling changing dependency structure in multivariate time series
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Xiang Xuan, Kevin P. Murphy
ICANN
2007
Springer
16 years 20 days ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
CIKM
2008
Springer
15 years 8 months ago
Estimating the number of answers with guarantees for structured queries in p2p databases
Structured P2P overlays supporting standard database functionalities are a popular choice for building large-scale distributed data management systems. In such systems, estimating...
Marcel Karnstedt, Kai-Uwe Sattler, Michael Ha&szli...
ESWS
2008
Springer
15 years 8 months ago
Learning Highly Structured Semantic Repositories from Relational Databases:
Abstract. Relational databases are valuable sources for ontology learning. Methods and tools have been proposed to generate ontologies from such structured input. However, a major ...
Farid Cerbah
ICPR
2010
IEEE
15 years 6 months ago
Detection of Salient Image Points Using Principal Subspace Manifold Structure
—This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions ar...
António R. C. Paiva, Tolga Tasdizen