6 search results - page 1 / 2 » Nearest neighbours in least-squares data imputation algorith... |
CSDA
2006
13 years 4 months ago
2006
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
WCE
2007
13 years 6 months ago
2007
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Nearest neighbour (NN) imputation al...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
JCP
2006
13 years 4 months ago
2006
Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper present...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Many data sets are incomplete. For correct analysis of such data, one can either use algorithms that are designed to handle missing data or use imputation. Imputation has the bene...