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SUM
2009
Springer
16 years 26 days ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
ISSTA
2009
ACM
16 years 25 days ago
SideTrack: generalizing dynamic atomicity analysis
Atomicity is a key correctness specification for multithreaded programs. Prior dynamic atomicity analyses include precise tools, which report an error if and only if the observed...
Jaeheon Yi, Caitlin Sadowski, Cormac Flanagan
SADFE
2008
IEEE
16 years 21 days ago
Finding the Evidence in Tamper-Evident Logs
Secure logs are powerful tools for building systems that must resist forgery, prove temporal relationships, and stand up to forensic scrutiny. The proofs of order and integrity en...
Daniel Sandler, Kyle Derr, Scott A. Crosby, Dan S....
WISE
2008
Springer
16 years 21 days ago
Approximate Information Filtering in Peer-to-Peer Networks
Abstract. Most approaches to information filtering taken so far have the underlying hypothesis of potentially delivering notifications from every information producer to subscrib...
Christian Zimmer, Christos Tryfonopoulos, Klaus Be...
AINA
2007
IEEE
16 years 20 days ago
Pervasive Computing with Frugal Objects
— This paper presents a computing model for resource-limited mobile devices that might be ubiquitously deployed in private and business environments. The model integrates a stron...
Benoît Garbinato, Rachid Guerraoui, Jarle Hu...