Logical activation functions for training arbitrary probabilistic Boolean operations
From MaRDI portal
Publication:6497346
DOI10.1016/J.INS.2024.120304WikidataQ128408866 ScholiaQ128408866MaRDI QIDQ6497346
Tommie A. Catanach, Jed A. Duersch, Niladri Das
Publication date: 6 May 2024
Published in: Information Sciences (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- A universal prior for integers and estimation by minimum description length
- Fuzzy logic and approximate reasoning
- Logic tensor networks
- Logic explained networks
- Algorithmic Probability: Theory and Applications
- Universal coding, information, prediction, and estimation
- Learning and Reasoning with Logic Tensor Networks
- Fuzzy sets
- A formal theory of inductive inference. Part I
- A formal theory of inductive inference. Part II
- On Information and Sufficiency
This page was built for publication: Logical activation functions for training arbitrary probabilistic Boolean operations