Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels.
Lev V. UtkinAnatoly I. ChekhYulia A. ZhukPublished in: Neural Networks (2016)
Keyphrases
- binary classification
- support vector
- training data
- interval valued
- learning algorithm
- support vector machine
- generalization error
- active learning
- cost sensitive
- computer vision
- data sets
- multi class
- kernel function
- machine learning algorithms
- class imbalance
- prior knowledge
- pattern recognition
- rough sets
- fuzzy sets
- model selection
- benchmark datasets
- real valued