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» Rank Estimation in Missing Data Matrix Problems
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ICPR
2004
IEEE
14 years 9 months ago
Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule
Feature selection using the naive Bayes rule is presented for the case of multiclass data sets. In this paper, the EM algorithm is applied to each class projected over the feature...
José Martínez Sotoca, José Sa...
COR
2006
93views more  COR 2006»
13 years 7 months ago
Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process
Data envelopment analysis (DEA) is proposed in this paper to generate local weights of alternatives from pair-wise comparison judgment matrices used in the analytic hierarchy proc...
Ramakrishnan Ramanathan
ICASSP
2011
IEEE
12 years 11 months ago
Improvement to esprit-type frequency estimators via reducing data redundancy
In this paper, the problem of estimating the damping factor and frequency parameters from multiple cisoids in noise is addressed. We rst propose a data matrix which generalizes th...
Weize Sun, Hing Cheung So
WWW
2009
ACM
14 years 8 months ago
Estimating the impressionrank of web pages
The ImpressionRank of a web page (or, more generally, of a web site) is the number of times users viewed the page while browsing search results. ImpressionRank captures the visibi...
Ziv Bar-Yossef, Maxim Gurevich
NN
2000
Springer
159views Neural Networks» more  NN 2000»
13 years 7 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama