A Theoretical and Practical Framework for Regression and Classification from Truncated Samples.
Andrew IlyasEmmanouil ZampetakisConstantinos DaskalakisPublished in: AISTATS (2020)
Keyphrases
- main contribution
- optimum path forest
- feature selection
- decision trees
- automatic classification
- support vector machine svm
- pattern recognition
- theoretical underpinnings
- classification accuracy
- video classification
- model selection
- classification algorithm
- support vector regression
- text classification
- support vector
- feature extraction
- machine learning
- target variable
- supervised feature selection
- linear regression
- decision rules
- class labels
- training samples
- image classification
- feature vectors
- preprocessing
- learning algorithm