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ECSQARU
1995
Springer
13 years 11 months ago
Parametric Structure of Probabilities in Bayesian Networks
The paper presents a method for uncertainty propagation in Bayesian networks in symbolic, as opposed to numeric, form. The algebraic structure of probabilities is characterized. Th...
Enrique Castillo, José Manuel Gutiér...
AAAI
1996
13 years 8 months ago
Goal Oriented Symbolic Propagation in Bayesian Networks
The paper presents an efficient goal oriented algorithm for symbolic propagation in Bayesian networks. The proposed algorithm performs symbolic propagation using numerical methods...
Enrique Castillo, José Manuel Gutiér...
STOC
2003
ACM
90views Algorithms» more  STOC 2003»
14 years 7 months ago
Work-competitive scheduling for cooperative computing with dynamic groups
The problem of cooperatively performing a set of t tasks in a decentralized setting where the computing medium is subject to failures is one of the fundamental problems in distrib...
Chryssis Georgiou, Alexander Russell, Alexander A....
SODA
2008
ACM
104views Algorithms» more  SODA 2008»
13 years 8 months ago
Ranged hash functions and the price of churn
Ranged hash functions generalize hash tables to the setting where hash buckets may come and go over time, a typical case in distributed settings where hash buckets may correspond ...
James Aspnes, Muli Safra, Yitong Yin
ECAI
2008
Springer
13 years 9 months ago
Structure segmentation and recognition in images guided by structural constraint propagation
In some application domains, such as medical imaging, the objects that compose the scene are known as well as some of their properties and their spatial arrangement. We can take ad...
Olivier Nempont, Jamal Atif, Elsa D. Angelini, Isa...