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» Data Clustering with a Relational Push-Pull Model
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ESANN
2007
14 years 11 months ago
Mixtures of robust probabilistic principal component analyzers
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
Cédric Archambeau, Nicolas Delannay, Michel...
ICML
2007
IEEE
15 years 10 months ago
The matrix stick-breaking process for flexible multi-task learning
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Ya Xue, David B. Dunson, Lawrence Carin
ICDE
2002
IEEE
104views Database» more  ICDE 2002»
15 years 11 months ago
Efficient Evaluation of Queries with Mining Predicates
Modern relational database systems are beginning to support ad hoc queries on mining models. In this paper, we explore novel techniques for optimizing queries that apply mining mo...
Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sara...
ICWS
2009
IEEE
15 years 6 months ago
RDF Data-Centric Storage
—The vision of the Semantic Web has brought about new challenges at the intersection of web research and data management. One fundamental research issue at this intersection is t...
Justin J. Levandoski, Mohamed F. Mokbel
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
15 years 3 months ago
Information Integration of Partially Labeled Data
Abstract. A central task when integrating data from different sources is to detect identical items. For example, price comparison websites have to identify offers for identical p...
Steffen Rendle, Lars Schmidt-Thieme