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» Selectivity Estimation using Probabilistic Models
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ICDE
2010
IEEE
219views Database» more  ICDE 2010»
16 years 5 months ago
PIP: A Database System for Great and Small Expectations
Estimation via sampling out of highly selective join queries is well known to be problematic, most notably in online aggregation. Without goal-directed sampling strategies, samples...
Oliver Kennedy, Christoph Koch
JAIR
2011
133views more  JAIR 2011»
15 years 1 months ago
A Probabilistic Approach for Maintaining Trust Based on Evidence
Leading agent-based trust models address two important needs. First, they show how an agent may estimate the trustworthiness of another agent based on prior interactions. Second, ...
Yonghong Wang, Chung-Wei Hang, Munindar P. Singh
ICMLA
2008
15 years 7 months ago
Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...
Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz...
NAACL
2010
15 years 4 months ago
Probabilistic Frame-Semantic Parsing
This paper contributes a formalization of frame-semantic parsing as a structure prediction problem and describes an implemented parser that transforms an English sentence into a f...
Dipanjan Das, Nathan Schneider, Desai Chen, Noah A...
BROADNETS
2006
IEEE
15 years 10 months ago
Wavelength Assignment in Optical Networks with Imprecise Network State Information
Efficient routing and wavelength assignment (RWA) in wavelength-routed all-optical networks is critical for achieving high efficiency over the backbone links. Extensive research ha...
Satyajeet Ahuja, Marwan Krunz, Srinivasan Ramasubr...