Sciweavers

63 search results - page 6 / 13
» Privacy-preserving imputation of missing data
Sort
View
NN
2006
Springer
13 years 7 months ago
Missing data imputation through GTM as a mixture of t-distributions
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...
Alfredo Vellido
AMC
2005
106views more  AMC 2005»
13 years 7 months ago
Indirect methods of imputation of missing data based on available units
María del Mar Rueda, S. González, An...
HIS
2004
13 years 8 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
ICASSP
2011
IEEE
12 years 11 months ago
Evaluating music sequence models through missing data
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
Thierry Bertin-Mahieux, Graham Grindlay, Ron J. We...