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» A Sampling Method Focusing on Practicality
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ICDE
2010
IEEE
212views Database» more  ICDE 2010»
14 years 10 months ago
Cleansing uncertain databases leveraging aggregate constraints
— Emerging uncertain database applications often involve the cleansing (conditioning) of uncertain databases using additional information as new evidence for reducing the uncerta...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang
CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
15 years 4 months ago
Event-based optimization for dispatching policies in material handling systems of general assembly lines
—A material handling (MH) system of a general assembly line dispatching parts from inventory to working buffers could be complicated and costly to operate. Generally it is extrem...
Yanjia Zhao, Qianchuan Zhao, Qing-Shan Jia, Xiaoho...
ACMICEC
2004
ACM
106views ECommerce» more  ACMICEC 2004»
15 years 3 months ago
Measuring e-government impact: existing practices and shortcomings
Public administrations of all over the world invest an enormous amount of resources in e-government. How the success of egovernment can be measured is often not clear. E-governmen...
Rob M. Peters, Marijn Janssen, Tom M. van Engers
WSC
2001
14 years 11 months ago
Monte Carlo simulation approach to stochastic programming
Various stochastic programmingproblemscan be formulated as problems of optimization of an expected value function. Quite often the corresponding expectation function cannot be com...
Alexander Shapiro
77
Voted
MOR
2007
140views more  MOR 2007»
14 years 9 months ago
Adaptive Control Variates for Finite-Horizon Simulation
Adaptive Monte Carlo methods are simulation efficiency improvement techniques designed to adaptively tune simulation estimators. Most of the work on adaptive Monte Carlo methods h...
Sujin Kim, Shane G. Henderson