Can Boosted Randomness Mimic Learning Algorithms of Geometric Nature? Example of a Simple Algorithm That Converges in Probability to Hard-Margin SVM.
Przemyslaw KleskMarcin KorzenPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- learning algorithm
- classification algorithm
- support vector
- training algorithm
- optimal solution
- computational complexity
- machine learning
- preprocessing
- classification method
- k means
- multi class classification
- segmentation algorithm
- support vector machine svm
- worst case
- multi class
- np hard
- model selection
- support vector machine
- machine learning algorithms
- feature vectors
- training set
- training data
- similarity measure