Classification aided domain reduction for high dimensional optimization.

Prashant Singh Francesco Ferranti Dirk Deschrijver Ivo Couckuyt Tom Dhaene

Published in: WSC (2014)

Keyphrases

high dimensional
decision trees
training set
support vector machine svm
pattern classification
support vector
benchmark datasets
classification accuracy
high dimensionality
domain independent

support vector machine
pattern recognition
machine learning
class labels
genetic algorithm
classification method
global optimization
classification algorithm
image classification
domain specific

dimension reduction
sparse coding
variable selection
automatic classification
classification scheme
classification process
class imbalanced
svm classifier
domain experts
sparse representation

similarity search
high dimensional data
model selection
optimization problems
multi dimensional
supervised learning
multi class
data points
preprocessing
feature selection