• JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
 
  Bookmark and Share
 
 
Master's Dissertation
DOI
https://doi.org/10.11606/D.3.2014.tde-23122014-145932
Document
Author
Full name
Felipe Iwao Takiyama
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2014
Supervisor
Committee
Cozman, Fabio Gagliardi (President)
Revoredo, Kate Cerqueira
Santos, Paulo Eduardo
Title in Portuguese
Algoritmos de inferência exata para modelos de primeira ordem.
Keywords in Portuguese
AC-FOVE
Algoritmo de eliminação de variáveis em primeira ordem
Algoritmo de inferência exata
Abstract in Portuguese
Este trabalho descreve a implementação de algoritmos de inferência para modelos de primeira ordem. Três algoritmos foram implementados: ve, c-fove e ac-fove. Este último e o estado da arte no calculo de probabilidades em Redes Bayesianas Relacionais e não possua nenhuma implementação disponível. O desenvolvimento foi feito segundo uma metodologia ágil que resultou em um pacote de software que pode ser utilizado em outras implementações. Mostra-se que o software criado possui o desempenho esperado em teoria, embora apresente algumas limitações. Esta dissertação contribui também com novos tópicos teóricos que complementam o algoritmo.
Title in English
Exact inference algorithms for first-order models.
Keywords in English
AC-FOVE
Exact inference algorithm
First-order variable elimination algorithm
Abstract in English
In this work, we describe the implementation of inference algorithms for first order models. Three algorithms were implemented: ve, c-fove and ac-fove. The latter is the state of the art in probability calculations for Relational Bayesian Networks and had no implementation available. The development was done according to an agile methodology, which resulted in a software that can be used in other packages. We show that the resulting software has the expected performance from the theory, although with some limitations. This work also contributes with new theoretical topics that complement the algorithm.
 
WARNING - Viewing this document is conditioned on your acceptance of the following terms of use:
This document is only for private use for research and teaching activities. Reproduction for commercial use is forbidden. This rights cover the whole data about this document as well as its contents. Any uses or copies of this document in whole or in part must include the author's name.
dissertacao_Felipe.pdf (844.42 Kbytes)
Publishing Date
2015-01-19
 
WARNING: Learn what derived works are clicking here.
All rights of the thesis/dissertation are from the authors
CeTI-SC/STI
Digital Library of Theses and Dissertations of USP. Copyright © 2001-2024. All rights reserved.