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KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 3 months 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
HYBRID
1998
Springer
15 years 7 months ago
A Connectionist Simulation of the Empirical Acquisition of Grammatical Relations
Abstract. This paper proposes an account of the acquisition of grammatical relations using the basic concepts of connectionism and a construction-based theory of grammar. Many prev...
William C. Morris, Garrison W. Cottrell, Jeffrey L...
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
15 years 9 months ago
Generalized Framework for Syntax-Based Relation Mining
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
Bonaventura Coppola, Alessandro Moschitti, Daniele...
NIPS
2008
15 years 4 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
ML
2006
ACM
122views Machine Learning» more  ML 2006»
15 years 3 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant