Probabilistic Logic for Reasoning About Actions in Time

Author(s):  
Šejla Dautović ◽  
Dragan Doder
2008 ◽  
Vol 55 (3-4) ◽  
pp. 355-388 ◽  
Author(s):  
Alex Dekhtyar ◽  
Michael I. Dekhtyar

2018 ◽  
Vol 108 (7) ◽  
pp. 1111-1135 ◽  
Author(s):  
Arnaud Nguembang Fadja ◽  
Fabrizio Riguzzi

2019 ◽  
Vol 11 (1) ◽  
pp. 59-66
Author(s):  
José Carlos Ferreira Da Rocha ◽  
Alaine M. Guimarães ◽  
Valter L. Estevam Jr.

This paper presents an approach that uses probabilistic logic reasoning to compute subjective interestingness scores for classification rules. In the proposed approach, domain knowledge is represented as a probabilistic logic program that encodes information from experts and statistical reports. The computation of interestingness scores is performed by a procedure that applies linear programming to reasoning regarding the probabilities of interest. It provides a mechanism to calculate probability-based subjective interestingness scores. Further, a sample application illustrates the use of the described approach.


2009 ◽  
Vol 7 (2) ◽  
pp. 137-154 ◽  
Author(s):  
Cassio Polpo de Campos ◽  
Fabio Gagliardi Cozman ◽  
José Eduardo Ochoa Luna

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