Feature-Based Diversity Optimization for Problem Instance Classification.
Wanru GaoSamadhi NallaperumaFrank NeumannPublished in: PPSN (2016)
Keyphrases
- feature selection
- pattern recognition
- support vector machine
- image classification
- decision trees
- support vector
- global optimization
- classification algorithm
- classification scheme
- optimization algorithm
- support vector machine svm
- classification systems
- image features
- classification models
- classification process
- supervised learning
- classification accuracy
- feature vectors
- training set
- feature space
- classifier ensemble
- search result diversification
- supervised classification
- data sets
- decision rules
- cross validation
- unsupervised learning
- optimization problems
- preprocessing
- machine learning