Theory reconstruction: a representation learning view on predicate invention
Machine Learning
2016-06-30 v2 Machine Learning
Logic in Computer Science
Abstract
With this positional paper we present a representation learning view on predicate invention. The intention of this proposal is to bridge the relational and deep learning communities on the problem of predicate invention. We propose a theory reconstruction approach, a formalism that extends autoencoder approach to representation learning to the relational settings. Our intention is to start a discussion to define a unifying framework for predicate invention and theory revision.
Cite
@article{arxiv.1606.08660,
title = {Theory reconstruction: a representation learning view on predicate invention},
author = {Sebastijan Dumancic and Wannes Meert and Hendrik Blockeel},
journal= {arXiv preprint arXiv:1606.08660},
year = {2016}
}
Comments
3 pages, StaRAI 2016 submission