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» Semi-parametric optimization for missing data imputation
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AAAI
2007
11 years 8 months ago
Cost-Sensitive Imputing Missing Values with Ordering
Various approaches for dealing with missing data have been developed so far. In this paper, two strategies are proposed for cost-sensitive iterative imputing missing values with o...
Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi...
APIN
2007
69views more  APIN 2007»
11 years 6 months ago
Semi-parametric optimization for missing data imputation
Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian ...
NIPS
2004
11 years 8 months ago
A Second Order Cone programming Formulation for Classifying Missing Data
We propose a convex optimization based strategy to deal with uncertainty in the observations of a classification problem. We assume that instead of a sample (xi, yi) a distributio...
Chiranjib Bhattacharyya, Pannagadatta K. Shivaswam...
BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
11 years 6 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
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