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» Input Modeling Using Quantile Statistical Methods
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CORR
2008
Springer
85views Education» more  CORR 2008»
13 years 7 months ago
Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections
The method of stable random projections is an efficient tool for computing the l distances using low memory, where 0 < 2 may be viewed as a tuning parameter. This method boil...
Ping Li
JCB
2007
94views more  JCB 2007»
13 years 7 months ago
A Quantile Method for Sizing Optical Maps
Optical mapping is an integrated system for the analysis of single DNA molecules. It constructs restriction maps (noted as “optical map”) from individual DNA molecules present...
Haifeng Li, Anton Valouev, David C. Schwartz, Mich...
PODS
2006
ACM
122views Database» more  PODS 2006»
14 years 7 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
TR
2008
81views more  TR 2008»
13 years 7 months ago
The Relationship Between Confidence Intervals for Failure Probabilities and Life Time Quantiles
The failure probability of a product F(t) and the life time quantile tp are commonly used metrics in reliability applications. Confidence intervals are used to quantify the statis...
Yili Hong, William Q. Meeker, Luis A. Escobar
HIPEAC
2005
Springer
14 years 1 months ago
Enhancing Network Processor Simulation Speed with Statistical Input Sampling
Abstract. While cycle-accurate simulation tools have been widely used in modeling high-performance processors, such an approach can be hindered by the increasing complexity of the ...
Jia Yu, Jun Yang 0002, Shaojie Chen, Yan Luo, Laxm...