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ISSTA
2007
ACM
13 years 11 months ago
Instrumenting where it hurts: an automatic concurrent debugging technique
As concurrent and distributive applications are becoming more common and debugging such applications is very difficult, practical tools for automatic debugging of concurrent appl...
Rachel Tzoref, Shmuel Ur, Elad Yom-Tov
ESANN
2007
13 years 11 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
MVA
1990
162views Computer Vision» more  MVA 1990»
13 years 11 months ago
Map-Driven Image Interpretation by Associative Model Indexing
d at a high abstraction level, and consists in an expectation-driven search starting from symbolic object descriptions and using a version of a distributed blackboard system for re...
Gian Luca Foresti, Vittorio Murino, Carlo S. Regaz...
ATAL
2010
Springer
13 years 10 months ago
A probabilistic model for trust and reputation
This paper concerns the problem of agent trust in an electronic market place. We maintain that agent trust involves making decisions under uncertainty and therefore the phenomenon...
George Vogiatzis, Ian MacGillivray, Maria Chli
BMCBI
2010
118views more  BMCBI 2010»
13 years 10 months ago
Towards realistic benchmarks for multiple alignments of non-coding sequences
Background: With the continued development of new computational tools for multiple sequence alignment, it is necessary today to develop benchmarks that aid the selection of the mo...
Jaebum Kim, Saurabh Sinha