@inproceedings{15b622e1221347069737624ae8805e99,
title = "Machine learning in Proof General",
abstract = "We present ML4PG - a machine learning extension for Proof General. It allows users to gather proof statistics related to shapes of goals, sequences of applied tactics, and proof tree structures from the libraries of interactive higher-order proofs written in Coq and SSReflect. The gathered data is clustered using the state-of-the-art machine learning algorithms available in MATLAB and Weka. ML4PG provides automated interfacing between Proof General and MATLAB/Weka. The results of clustering are used by ML4PG to provide proof hints in the process of interactive proof development.",
keywords = "Interactive Theorem Proving, User Interfaces, Proof General, Coq, SSReflec, Machine Learning, Clustering",
author = "Ekaterina Komendantskaya and Jonathan Heras and Gudmund Grov",
year = "2013",
doi = "10.4204/EPTCS.118.2",
language = "English",
series = "Electronic Proceedings in Theoretical Computer Science",
publisher = "Open Publishing Association",
pages = "15--41",
booktitle = "Proceedings 10th International Workshop On User Interfaces for Theorem Provers (UITP 2012)",
address = "Australia",
}