Probabilistic logic with strong independence

Fabio G. Cozman, Cassio P. De Campos, José Carlos F. Da Rocha

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

Resumen

This papers investigates the manipulation of statements of strong independence in probabilistic logic. Inference methods based on polynomial programming are presented for strong independence, both for unconditional and conditional cases. We also consider graph-theoretic representations, where each node in a graph is associated with a Boolean variable and edges carry a Markov condition. The resulting model generalizes Bayesian networks, allowing probabilistic assessments and logical constraints to be mixed. © Springer-Verlag Berlin Heidelberg 2006.
Idioma originalInglés estadounidense
Título de la publicación alojadaProbabilistic logic with strong independence
Páginas612-621
Número de páginas10
ISBN (versión digital)3540454624, 9783540454625
DOI
EstadoPublicada - 1 ene 2006
Publicado de forma externa
EventoLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duración: 1 ene 2018 → …

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen4140 LNAI
ISSN (versión impresa)0302-9743

Conferencia

ConferenciaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Período1/01/18 → …

Huella Profundice en los temas de investigación de 'Probabilistic logic with strong independence'. En conjunto forman una huella única.

  • Citar esto

    Cozman, F. G., De Campos, C. P., & Da Rocha, J. C. F. (2006). Probabilistic logic with strong independence. En Probabilistic logic with strong independence (pp. 612-621). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4140 LNAI). https://doi.org/10.1007/11874850_65