Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem.

Liran Shen Meng Joo Er Qingbo Yin

Published in: CoRR (2020)

Keyphrases

small sample
high dimension
sample size
feature selection
model selection
high dimensional
support vector machine
feature space
upper bound
random sampling
class imbalanced
hyperparameters
real valued
training examples
high dimensional data
input space
feature set
pairwise
face recognition
machine learning