guest ::
| Home > Reports > Research reports > Causation Entropy Principle and Bayesian Inference to Causal Networks |
Original title:
Causation Entropy Principle and Bayesian Inference to Causal Networks
Authors: Coufal, David ; Hlinka, Jaroslav
Document type: Research reports
Year: 2015
Language: eng
Series: Technical Report, volume: V-1219
Keywords: Bayesian inference; causal links; causation entropy
Project no.: LD13002 (CEP), GA13-23940S (CEP)
Funding provider: GA MŠk, GA ČR
Rights: This work is protected under the Copyright Act No. 121/2000 Coll.
Institution: Institute of Computer Science AS ČR (web)
Original record: http://hdl.handle.net/11104/0245304
Permalink: http://www.nusl.cz/ntk/nusl-181053
The record appears in these collections:
Research > Institutes ASCR > Institute of Computer Science
Reports > Research reports
Authors: Coufal, David ; Hlinka, Jaroslav
Document type: Research reports
Year: 2015
Language: eng
Series: Technical Report, volume: V-1219
Keywords: Bayesian inference; causal links; causation entropy
Project no.: LD13002 (CEP), GA13-23940S (CEP)
Funding provider: GA MŠk, GA ČR
Rights: This work is protected under the Copyright Act No. 121/2000 Coll.
Institution: Institute of Computer Science AS ČR (web)
Original record: http://hdl.handle.net/11104/0245304
Permalink: http://www.nusl.cz/ntk/nusl-181053
The record appears in these collections:
Research > Institutes ASCR > Institute of Computer Science
Reports > Research reports
Record created 2015-03-23, last modified 2023-12-11
Fulltext:
PDFPlný tet:
If you can´t see the document in your browser, save it to your PC and open it in a suitable application.