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VLDB
1992
ACM
173views Database» more  VLDB 1992»
13 years 11 months ago
An Extended Relational Database Model for Uncertain and Imprecise Information
We propose an extended relational database model which can model both uncertainty and imprecision in data. This model is basedon Dempster-Shafertheory which has become popular in ...
Suk Kyoon Lee
TIT
2008
66views more  TIT 2008»
13 years 7 months ago
State Amplification
We consider the problem of transmitting data at rate over a state-dependent channel with state information available at the sender and at the same time conveying the information ab...
Young-Han Kim, Arak Sutivong, Thomas M. Cover
ORL
2007
64views more  ORL 2007»
13 years 7 months ago
Robust portfolio selection with uncertain exit time using worst-case VaR strategy
In this paper we consider the robust portfolio selection problem involving two types of uncertainties; the uncertainty in the distribution of exit time and the uncertainty in the ...
Dashan Huang, Frank J. Fabozzi, Masao Fukushima
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
14 years 7 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
MLCW
2005
Springer
14 years 1 months ago
Estimating Predictive Variances with Kernel Ridge Regression
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...