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Sensitivity Analysis with Cross-Validation for Feature Selection and Manifold Learning.
Cuixian Chen
Yishi Wang
Yaw Chang
Karl Ricanek
Published in:
ISNN (1) (2012)
Keyphrases
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sensitivity analysis
cross validation
manifold learning
feature selection
model selection
dimensionality reduction
support vector
dimension reduction
feature extraction
feature space
low dimensional
semi supervised
hyperparameters
high dimensional
high dimensional data
high dimensionality
training set
sparse representation
unsupervised learning
machine learning
feature set
classification accuracy
support vector machine
input space
neural network
variational inequalities
principal component analysis
sample size
multi class
linear discriminant analysis
pattern recognition
ls svm
kernel methods
clustering algorithm