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172
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AMAI
2008
Springer
15 years 3 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
142
Voted
KDD
2007
ACM
143views Data Mining» more  KDD 2007»
16 years 4 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...
Osmar R. Zaïane, Jiyang Chen, Randy Goebel
139
Voted
JMLR
2010
119views more  JMLR 2010»
14 years 10 months ago
Factorized Orthogonal Latent Spaces
Existing approaches to multi-view learning are particularly effective when the views are either independent (i.e, multi-kernel approaches) or fully dependent (i.e., shared latent ...
Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, ...
139
Voted
DOLAP
2008
ACM
15 years 5 months ago
Data mining-based fragmentation of XML data warehouses
With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail...
Hadj Mahboubi, Jérôme Darmont
159
Voted
TVCG
2010
186views more  TVCG 2010»
15 years 2 months ago
An Information-Theoretic Framework for Flow Visualization
—The process of visualization can be seen as a visual communication channel where the input to the channel is the raw data, and the output is the result of a visualization algori...
Lijie Xu, Teng-Yok Lee, Han-Wei Shen