477 search results - page 9 / 96 » Missing Data Estimation Using Polynomial Kernels |
147
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BMCBI
2007
15 years 2 months ago
2007
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
144
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JMLR
2010
14 years 9 months ago
2010
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
301
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ICA
2012
Springer
13 years 10 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...
152
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JMM2
2008
15 years 2 months ago
2008
This paper presents a technique for face recognition which uses wavelet transform to derive desirable facial features. Three level decompositions are used to form the pyramidal mul...
109
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AMC
2006
15 years 2 months ago
2006
Missing values in inputs, outputs cannot be handled by the original data envelopment analysis (DEA) models. In this paper we introduce an approach based on interval DEA that allow...