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PKDD
2009
Springer
136views Data Mining» more  PKDD 2009»
15 years 7 months ago
Integrating Logical Reasoning and Probabilistic Chain Graphs
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
Arjen Hommersom, Nivea de Carvalho Ferreira, Peter...
94
Voted
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 26 days ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
JMLR
2002
138views more  JMLR 2002»
15 years 4 days 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...
ENTCS
2008
115views more  ENTCS 2008»
15 years 16 days ago
Branching Bisimulation Congruence for Probabilistic Systems
The notion of branching bisimulation for the alternating model of probabilistic systems is not a congruence with respect to parallel composition. In this paper we first define ano...
Nikola Trcka, Sonja Georgievska
102
Voted
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
15 years 6 months ago
A Bernoulli Relational Model for Nonlinear Embedding
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. L...