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SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
15 years 9 months ago
Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
Naga K. Govindaraju, Nikunj Raghuvanshi, Dinesh Ma...
75
Voted
JCB
2007
94views more  JCB 2007»
14 years 9 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...
ECRTS
2009
IEEE
14 years 7 months ago
Generalized Tardiness Quantile Metric: Distributed DVS for Soft Real-Time Web Clusters
Performing QoS (Quality of Service) control in large computing systems requires an on line metric that is representative of the real state of the system. The Tardiness Quantile Me...
Luciano Bertini, Julius C. B. Leite, Daniel Moss&e...
SODA
1997
ACM
171views Algorithms» more  SODA 1997»
14 years 11 months ago
A Practical Approximation Algorithm for the LMS Line Estimator
The problem of fitting a straight line to a finite collection of points in the plane is an important problem in statistical estimation. Robust estimators are widely used because...
David M. Mount, Nathan S. Netanyahu, Kathleen Roma...
ICANN
2007
Springer
14 years 11 months ago
GARCH Processes with Non-parametric Innovations for Market Risk Estimation
Abstract. A procedure to estimate the parameters of GARCH processes with non-parametric innovations is proposed. We also design an improved technique to estimate the density of hea...
José Miguel Hernández-Lobato, Daniel...