An iterated "hyperplane exploration" approach for the quadratic knapsack problem.
Yuning ChenJin-Kao HaoPublished in: Comput. Oper. Res. (2017)
Keyphrases
- hyperplane
- data points
- support vector
- feature space
- linear classifiers
- training samples
- input space
- support vector machine
- principal components
- linearly separable
- incremental learning algorithm
- kernel space
- maximal margin
- convex hull
- classification procedure
- svm classifier
- support vectors
- weight vector
- kernel function
- locality sensitive
- data sets
- pattern recognition
- learning algorithm