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ICML
2007
IEEE
16 years 4 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
15 years 10 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
ICMLA
2007
15 years 5 months ago
Phase transition and heuristic search in relational learning
Several works have shown that the covering test in relational learning exhibits a phase transition in its covering probability. It is argued that this phase transition dooms every...
Érick Alphonse, Aomar Osmani
ECAI
2000
Springer
15 years 8 months ago
Lazy Propositionalisation for Relational Learning
A number of Inductive Logic Programming (ILP) systems have addressed the problem of learning First Order Logic (FOL) discriminant definitions by first reformulating the FOL lear...
Érick Alphonse, Céline Rouveirol
PAKDD
2005
ACM
96views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Kernels over Relational Algebra Structures
Abstract. In this paper we present a novel and general framework based on concepts of relational algebra for kernel-based learning over relational schema. We exploit the notion of ...
Adam Woznica, Alexandros Kalousis, Melanie Hilario