Classification accuracy improvement using conditioned Latin Hypercube Sampling in Supervised Machine Learning.
Ioannis IordanisChristos KoukouvinosIliana SilouPublished in: DESSERT (2022)
Keyphrases
- supervised machine learning
- latin hypercube sampling
- classification accuracy
- manually annotated
- supervised learning
- active learning
- support vector
- feature selection
- training data
- training set
- domain knowledge
- automatic extraction
- naive bayes
- ground truth
- probabilistic model
- feature space
- data sets
- generative model
- expert systems
- search engine
- learning algorithm
- data mining