Propositional Knowledge Representation and Reasoning in Restricted Boltzmann Machines.

By Son Dinh Tran. 2017

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. A.S. d'Avila Garcez
2. L. C. Lamb
3. Marco Gori
4. Luciano Serafini
5. Son Dinh Tran
6. Michael Spranger
7. Samy Badreddine
8. Tarek R. Besold

Citations in the corpus

• Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning (2019, methodology): “CRILP[52] ✓ ✓ ✓ ✓”