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» Models for Incomplete and Probabilistic Information
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SIGMOD
2006
ACM
156views Database» more  SIGMOD 2006»
16 years 5 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 7 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
16 years 4 days 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
BMCBI
2004
133views more  BMCBI 2004»
15 years 5 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
174
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ECAI
2004
Springer
15 years 11 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...