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A method for learning a sparse classifier in the presence of missing data for high-dimensional biological datasets.
Kristen A. Severson
Brinda Monian
J. Christopher Love
Richard D. Braatz
Published in:
Bioinform. (2017)
Keyphrases
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missing data
missing values
high dimensional
noisy data
incomplete data
nearest neighbor
input data
learning algorithm
multiple imputation
nearest neighbour
low rank
structure from motion
decision trees
feature selection
em algorithm
data points
sparse matrix
matrix completion
neural network
missing attribute values