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» Privacy-preserving imputation of missing data
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BMCBI
2006
211views more  BMCBI 2006»
13 years 7 months ago
Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
14 years 8 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal
CSDA
2011
12 years 11 months ago
Iterative stepwise regression imputation using standard and robust methods
Imputation of missing values is one of the major tasks for data pre-processing in many areas. Whenever imputation of data from official statistics comes into mind, several (additi...
Matthias Templ, Alexander Kowarik, Peter Filzmoser
INTERSPEECH
2010
13 years 2 months ago
Mask estimation in non-stationary noise environments for missing feature based robust speech recognition
In missing feature based automatic speech recognition (ASR), the role of the spectro-temporal mask in providing an accurate description of the relationship between target speech a...
Shirin Badiezadegan, Richard C. Rose
WCE
2007
13 years 8 months ago
A Fast Multivariate Nearest Neighbour Imputation Algorithm
— 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...
Norman Solomon, Giles Oatley, Kenneth McGarry