882 search results - page 15 / 177 » A Sampling Method Focusing on Practicality |
APPROX
2005
Springer
15 years 3 months ago
2005
Springer
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
CIBCB
2006
IEEE
15 years 3 months ago
2006
IEEE
— Microarray data analysis is notoriously challenging as it involves a huge number of genes compared to only a limited number of samples. Gene selection, to detect the most signi...
CSDA
2007
14 years 9 months ago
2007
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
71
Voted
VLDB
1992
ACM
15 years 1 months ago
1992
ACM
In the past, two basic approaches for sampling f5-om B+ trees have been suggested: sampling from the ranked trees and acceptance/rejection sampling i?om non-ranked trees. The firs...
NIPS
2008
14 years 11 months ago
2008
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...