80 search results - page 5 / 16 » Robust imputation method for missing values in microarray da... |
BMCBI
2005
13 years 8 months ago
2005
Background: A common feature of microarray experiments is the occurence of missing gene expression data. These missing values occur for a variety of reasons, in particular, becaus...
DKE
2008
13 years 8 months ago
2008
Handling missing data is a critical step to ensuring good results in data mining. Like most data mining algorithms, existing privacy-preserving data mining algorithms assume data ...
ICA
2012
Springer
12 years 4 months ago
2012
Springer
Abstract. Missing data in corrupted audio recordings poses a challenging problem for audio signal processing. In this paper we present an approach that allows us to estimate missin...
NIPS
2001
13 years 10 months ago
2001
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
WCE
2007
13 years 9 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...