OOBN for Forensic Identification Through Searching a DNA Profiles’ Database
Abstract
In this paper we evaluate forensic identi cation hypotheses conditionally to the characteristics observed both on a crime sample and on individuals contained in a database. First we solve the problem via a computational e cient Bayesian Network obtained by transforming some recognized conditional speci c independencies into conditional independencies. Then we propose an Object Oriented Bayesian Network representation, rst considering a generic characteristic, then inheritable DNA traits. In this respect we show how to use the Object Oriented Bayesian Network to evaluate hypotheses concerning the possibility that some unobserved individuals, genetically related to the individuals pro led in the database, are the donors of the crime sample. 1
Cite
Text
Cavallini and Corradi. "OOBN for Forensic Identification Through Searching a DNA Profiles’ Database." Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005.Markdown
[Cavallini and Corradi. "OOBN for Forensic Identification Through Searching a DNA Profiles’ Database." Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005.](https://mlanthology.org/aistats/2005/cavallini2005aistats-oobn/)BibTeX
@inproceedings{cavallini2005aistats-oobn,
title = {{OOBN for Forensic Identification Through Searching a DNA Profiles’ Database}},
author = {Cavallini, David and Corradi, Fabio},
booktitle = {Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics},
year = {2005},
pages = {41-48},
volume = {R5},
url = {https://mlanthology.org/aistats/2005/cavallini2005aistats-oobn/}
}