Structured machine learning: the next ten years

Authors:
Thomas G. Dietterich;Pedro Domingos;Lise Getoor;Stephen Muggleton;Prasad Tadepalli
Affiliations:
Oregon State University, Corvallis, USA;University of Washington, Seattle, USA;University of Maryland, College Park, USA;Imperial College, London, UK;Oregon State University, Corvallis, USA
Venue:
Machine Learning
Year:
2008

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Abstract

The field of inductive logic programming (ILP) has made steady progress, since the first ILP workshop in 1991, based on a balance of developments in theory, implementations and applications. More recently there has been an increased emphasis on Probabilistic ILP and the related fields of Statistical Relational Learning (SRL) and Structured Prediction. The goal of the current paper is to consider these emerging trends and chart out the strategic directions and open problems for the broader area of structured machine learning for the next 10 years.