Classification aided domain reduction for high dimensional optimization.
Prashant SinghFrancesco FerrantiDirk DeschrijverIvo CouckuytTom DhaenePublished 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