Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs
From International Center for Computational Logic
Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs
Steffen HölldoblerSteffen Hölldobler, Yvonne KalinkeYvonne Kalinke
Steffen Hölldobler, Yvonne Kalinke
Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs
NIPS-97 Workshop on Learning dynamical data structures: From sequences to graphs, December 1997
Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs
NIPS-97 Workshop on Learning dynamical data structures: From sequences to graphs, December 1997
- Forschungsgruppe:Research Group: WissensverarbeitungKnowledge Representation and Reasoning
@inproceedings{HK1997,
author = {Steffen H{\"{o}}lldobler and Yvonne Kalinke},
title = {Recurrent Neural Networks to Approximate the Semantics of
Acceptable Logic Programs},
booktitle = {NIPS-97 Workshop on Learning dynamical data structures: From
sequences to graphs},
year = {1997},
month = {December}
}