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JMLR
2002
138views more  JMLR 2002»
15 years 6 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
ICML
2001
IEEE
16 years 7 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
CORR
2007
Springer
134views Education» more  CORR 2007»
15 years 6 months ago
An Analytical Study of a Structured Overlay in the presence of Dynamic Membership
— In this paper, we present a complete analytical study of dynamic membership (aka churn) in structured peer-to-peer networks. We use a master-equation-based approach, which is u...
Supriya Krishnamurthy, Sameh El-Ansary, Erik Aurel...
ECCV
2008
Springer
16 years 8 months ago
Learning to Localize Objects with Structured Output Regression
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
Matthew B. Blaschko, Christoph H. Lampert
SIGECOM
2006
ACM
155views ECommerce» more  SIGECOM 2006»
16 years 9 days ago
Incentives engineering for structured P2P systems - a feasibility demonstration using economic experiments
Structured peer-to-peer systems allow to administer large volumes of data. Several peers collaborate to generate a query result. Analyses of unstructured peer-to-peer systems, nam...
Stephan Schosser, Klemens Böhm, Rainer Schmid...