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» Models for Incomplete and Probabilistic Information
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SIGMOD
2010
ACM
153views Database» more  SIGMOD 2010»
15 years 2 months ago
Threshold query optimization for uncertain data
The probabilistic threshold query (PTQ) is one of the most common queries in uncertain databases, where all results satisfying the query with probabilities that meet the threshold...
Yinian Qi, Rohit Jain, Sarvjeet Singh, Sunil Prabh...
NN
1998
Springer
177views Neural Networks» more  NN 1998»
14 years 9 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
DNA
2011
Springer
227views Bioinformatics» more  DNA 2011»
13 years 9 months ago
Cooperative Assembly Systems
Several molecular systems form large-scale objects. One would like to understand their assembly and how this assembly is regulated. As a first step, we investigate the phase trans...
Vincent Danos, Heinz Koeppl, John Wilson-Kanamori
IUI
2006
ACM
15 years 3 months ago
Who's asking for help?: a Bayesian approach to intelligent assistance
Automated software customization is drawing increasing attention as a means to help users deal with the scope, complexity, potential intrusiveness, and ever-changing nature of mod...
Bowen Hui, Craig Boutilier
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
15 years 9 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...