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» Learning Stochastic Logic Programs
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ECAI
2000
Springer
14 years 1 days 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
ILP
2004
Springer
14 years 1 months ago
Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. Our research has focused on Information Extraction (IE), a task that typically invol...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik
IJCAI
1993
13 years 9 months ago
Multiple Predicate Learning
We study multiple predicate learning in an empirical setting. Problems with existing inductive logic programming approaches in this setting are sketched and an empirical ILP syste...
Luc De Raedt, Nada Lavrac, Saso Dzeroski
XSYM
2005
Springer
107views Database» more  XSYM 2005»
14 years 1 months ago
Logic Wrappers and XSLT Transformations for Tuples Extraction from HTML
Abstract. Recently it was shown that existing general-purpose inductive logic programming systems are useful for learning wrappers (known as L-wrappers) to extract data from HTML d...
Costin Badica, Amelia Badica
ICML
2010
IEEE
13 years 8 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...