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» Learning from Highly Structured Data by Decomposition
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HOTOS
2007
IEEE
15 years 2 months ago
Is the Optimism in Optimistic Concurrency Warranted?
Optimistic synchronization allows concurrent execution of critical sections while performing dynamic conflict detection and recovery. Optimistic synchronization will increase perf...
Donald E. Porter, Owen S. Hofmann, Emmett Witchel
ICDE
2011
IEEE
200views Database» more  ICDE 2011»
14 years 1 months ago
Deriving probabilistic databases with inference ensembles
— Many real-world applications deal with uncertain or missing data, prompting a surge of activity in the area of probabilistic databases. A shortcoming of prior work is the assum...
Julia Stoyanovich, Susan B. Davidson, Tova Milo, V...
ICDIM
2007
IEEE
15 years 4 months ago
Pattern-based decision tree construction
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
COLING
2002
14 years 10 months ago
Hierarchical Orderings of Textual Units
Text representation is a central task for any approach to automatic learning from texts. It requires a format which allows to interrelate texts even if they do not share content w...
Alexander Mehler
DSN
2006
IEEE
15 years 1 months ago
An Approach for Detecting and Distinguishing Errors versus Attacks in Sensor Networks
Distributed sensor networks are highly prone to accidental errors and malicious activities, owing to their limited resources and tight interaction with the environment. Yet only a...
Claudio Basile, Meeta Gupta, Zbigniew Kalbarczyk, ...