Pareto Front Estimation Using Unit Hyperplane.
Tomoaki TakagiKeiki TakadamaHiroyuki SatoPublished in: EMO (2021)
Keyphrases
- hyperplane
- support vector
- feature space
- linear classifiers
- data points
- training samples
- multi objective
- kernel function
- linearly separable
- maximal margin
- input space
- incremental learning algorithm
- principal components
- support vector machine
- classification procedure
- decision boundary
- svm classifier
- support vectors
- kernel space
- average distance
- normal vectors
- convex hull
- locality sensitive
- linear separability
- image data
- nearest neighbor
- principal direction
- reinforcement learning
- feature selection