@INPROCEEDINGS{2012:2UAI,
  author = {Giuseppe Sanfilippo},
  title = {From imprecise probability assessments to conditional probabilities
	with quasi additive classes of conditioning events},
  booktitle = {Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial
	Intelligence, UAI-2012, Catalina Island, United States, August 15--17},
  year = {2012},
  pages = {736--745},
  note = {ISBN 978-0-9749039-8-9},
  abstract = {In this paper, starting from a generalized coherent (i.e. avoiding
	uniform loss) interval-valued probability assessment on a finite
	family of conditional events, we construct conditional probabilities
	with quasi additive classes of conditioning events which are consistent
	with the given initial assessment. Quasi additivity assures coherence
	for the obtained conditional probabilities. In order to reach our
	goal we define a finite sequence of conditional probabilities by
	exploiting some theoretical results on g-coherence. In particular,
	we use solutions of a finite sequence of linear systems.},
  url = {http://www.auai.org/uai2012/papers/173.pdf},
  scopus = {{2-s2.0-84875211803}},
}