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» A hierarchical model of data locality
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ICML
2005
IEEE
14 years 11 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
AAAI
2010
13 years 11 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
FORMATS
2007
Springer
14 years 2 months ago
Partial Order Reduction for Verification of Real-Time Components
Abstract. We describe a partial order reduction technique for a realtime component model. Components are described as timed automata with data ports, which can be composed in stati...
John Håkansson, Paul Pettersson
BMCBI
2010
174views more  BMCBI 2010»
13 years 10 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
DATESO
2007
113views Database» more  DATESO 2007»
13 years 11 months ago
Using XSEM for Modeling XML Interfaces of Services in SOA
In this paper we briefly describe a new conceptual model for XML data called XSEM and how to use it for modeling XML interfaces of services in service oriented architecture (SOA)....
Martin Necasky