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ACSW
2007
13 years 9 months ago
Controlling Inference: Avoiding P-level Reduction during Analysis
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to d...
Adepele Williams, Ken Barker
WSC
2000
13 years 9 months ago
Variance reduction techniques for value-at-risk with heavy-tailed risk factors
The calculation of value-at-risk (VAR) for large portfolios of complex instruments is among the most demanding and widespread computational challenges facing the financial industr...
Paul Glasserman, Philip Heidelberger, Perwez Shaha...
ANSS
2006
IEEE
14 years 1 months ago
Swarm-based Active Tunable Routing for Overhead Reduction in Multiservice Networks
The explosive growth of multimedia and other bandwidth intensive applications has resulted a rapid increase in the size of the traffic loads that needs to be supported by modern n...
Constandinos X. Mavromoustakis, Helen D. Karatza
CORR
2010
Springer
156views Education» more  CORR 2010»
13 years 7 months ago
Topological analysis of the power grid and mitigation strategies against cascading failures
This paper presents a complex systems overview of a power grid network under cascading conditions. The cascading effect has been simulated on three different networks, the IEEE 300...
Sakshi Pahwa, Amelia Hodges, Caterina M. Scoglio, ...
IJON
1998
158views more  IJON 1998»
13 years 7 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu