cplint on SWISH is a web application that allows users to perform reasoning tasks on probabilistic logic programs. Both inference and learning systems can be performed: conditional probabilities with exact, rejection sampling and Metropolis-Hasting methods. Moreover, the system now allows hybrid programs, i.e., programs where some of the random variables are continuous. To perform inference on such programs likelihood weighting and particle filtering are used. cplint on SWISH is also able to sample goals’ arguments and to graph the results. This paper reports on advances and new features of cplint on SWISH, including the capability of drawing the binary decision diagrams created during the inference processes.

cplint on SWISH: Probabilistic Logical Inference with a Web Browser

ALBERTI, Marco
Primo
;
BELLODI, Elena;RIGUZZI, Fabrizio
;
ZESE, Riccardo
Ultimo
2017

Abstract

cplint on SWISH is a web application that allows users to perform reasoning tasks on probabilistic logic programs. Both inference and learning systems can be performed: conditional probabilities with exact, rejection sampling and Metropolis-Hasting methods. Moreover, the system now allows hybrid programs, i.e., programs where some of the random variables are continuous. To perform inference on such programs likelihood weighting and particle filtering are used. cplint on SWISH is also able to sample goals’ arguments and to graph the results. This paper reports on advances and new features of cplint on SWISH, including the capability of drawing the binary decision diagrams created during the inference processes.
Alberti, Marco; Bellodi, Elena; Cota, Giuseppe; Riguzzi, Fabrizio; Zese, Riccardo
File in questo prodotto:
File Dimensione Formato  
ia17.pdf

solo gestori archivio

Descrizione: Full text
Tipologia: Full text (versione editoriale)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 916.64 kB
Formato Adobe PDF
916.64 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
2017.riguzzi.cplint on SWISH_POST PRINT.pdf

accesso aperto

Tipologia: Post-print
Licenza: PUBBLICO - Pubblico con Copyright
Dimensione 654.34 kB
Formato Adobe PDF
654.34 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2368375
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 26
social impact