Effects of Random Sampling on SVM Hyper-parameter Tuning.
Tomás HorváthRafael Gomes MantovaniAndré C. P. L. F. de CarvalhoPublished in: ISDA (2016)
Keyphrases
- random sampling
- parameter tuning
- support vector
- ink bleed
- active learning
- sample size
- support vector machine svm
- sampling algorithm
- hyperparameters
- support vector machine
- sampling procedure
- parameter settings
- model selection
- sampling methods
- random projections
- knn
- svm classifier
- random samples
- sliding window
- query by committee
- adaptive sampling
- random sample
- feature selection
- stratified sampling
- training data
- reservoir sampling
- kernel methods
- neural network
- machine learning
- cost sensitive
- special case
- feature space
- feature extraction
- learning algorithm