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» Models for Incomplete and Probabilistic Information
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213
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SIGMOD
2006
ACM
156views Database» more  SIGMOD 2006»
16 years 4 months ago
MauveDB: supporting model-based user views in database systems
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
Amol Deshpande, Samuel Madden
APCCM
2006
15 years 6 months ago
Defining and implementing domains with multiple types using mesodata modelling techniques
The integration of data from different sources often leads to the adoption of schemata that entail a loss of information in respect of one or more of the data sets being combined....
Sally Rice, John F. Roddick, Denise de Vries
RSKT
2009
Springer
15 years 11 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
155
Voted
BMCBI
2004
133views more  BMCBI 2004»
15 years 4 months ago
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Robin D. Dowell, Sean R. Eddy
ECAI
2004
Springer
15 years 10 months ago
Towards a Logical Analysis of Biochemical Reactions
We provide a logical model of biochemical reactions and show how hypothesis generation using weakest sufficient and strongest necessary conditions may be used to provide addition...
Patrick Doherty, Steve Kertes, Martin Magnusson, A...