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» Exploiting Data Missingness in Bayesian Network Modeling
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SIGMETRICS
2008
ACM
142views Hardware» more  SIGMETRICS 2008»
15 years 16 days ago
Exploiting manufacturing variations for compensating environment-induced clock drift in time synchronization
Time synchronization is an essential service in distributed computing and control systems. It is used to enable tasks such as synchronized data sampling and accurate time-offlight...
Thomas Schmid, Zainul Charbiwala, Jonathan Friedma...
78
Voted
ICANN
2005
Springer
15 years 6 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
VLDB
2007
ACM
190views Database» more  VLDB 2007»
16 years 26 days ago
Request Window: an Approach to Improve Throughput of RDBMS-based Data Integration System by Utilizing Data Sharing Across Concur
This paper focuses on the problem of improving distributed query throughput of the RDBMS-based data integration system that has to inherit the query execution model of the underly...
Rubao Lee, Minghong Zhou, Huaming Liao
WSC
2001
15 years 2 months ago
Accounting for input model and parameter uncertainty in simulation
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
Faker Zouaoui, James R. Wilson
97
Voted
MLDM
2005
Springer
15 years 6 months ago
A Grouping Method for Categorical Attributes Having Very Large Number of Values
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
Marc Boullé