315 search results - page 4 / 63 » Quantile and histogram estimation |
INFOCOM
2010
IEEE
13 years 5 months ago
2010
IEEE
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
CSDA
2006
13 years 7 months ago
2006
Quantile smoothing splines provide nonparametric estimation of conditional quantile functions. Like other nonparametric smoothing techniques, the choice of smoothing parameters co...
JMLR
2006
13 years 7 months ago
2006
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
VLDB
1997
ACM
13 years 11 months ago
1997
ACM
The cpquantile of an ordered sequenceof data values is the element with rank ‘pn, where n is the total number of values. Accurate estimates of quantiles are required for the sol...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
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...