1915 search results - page 100 / 383 » Computing LTS Regression for Large Data Sets |
JMLR
2010
13 years 4 months ago
2010
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
SODA
2008
ACM
13 years 10 months ago
2008
ACM
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
ICDE
2012
IEEE
11 years 11 months ago
2012
IEEE
—This paper investigates the problem of incremental detection of errors in distributed data. Given a distributed database D, a set Σ of conditional functional dependencies (CFDs...
ICMLA
2010
13 years 7 months ago
2010
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
EOR
2007
13 years 9 months ago
2007
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...