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Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data.
Feiyu Xiong
Moshe Kam
Leonid Hrebien
Beilun Wang
Yanjun Qi
Published in:
ACM Trans. Knowl. Discov. Data (2016)
Keyphrases
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information theoretic
data sets
high dimensional
metric learning
data points
data analysis
mutual information
high dimensional data
cancer diagnosis
training data
prior knowledge
semi supervised
learning tasks
gene expression data
pairwise
input data