Title: Languages for learning and mining
Authors: De Raedt, Luc # ×
Issue Date: Jan-2015
Publisher: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
Host Document: Constraints, Optimization and Data
Series Title: Dagstuhl Report
Conference: Dagstuhl Seminar edition:14411 location:Dagstuhl date:5-10 October 2014
Abstract: Applying machine learning and data mining to novel applications is cumbersome. This
observation is the prime motivation for the interest in languages for learning and
mining. This talk provided a gentle introduction to modelling languages, which allow
to declaratively specify and solve mining and learning problems, and programming
languages, that support the learning of functions and subroutines.
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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