Investigating minimizing the training set fill distance in machine learning regression.
Paolo ClimacoJochen GarckePublished in: CoRR (2023)
Keyphrases
- machine learning
- training set
- supervised learning
- model selection
- classification and regression problems
- cross validation
- active learning
- decision trees
- machine learning methods
- nearest neighbor
- distance measure
- regression problems
- regression model
- pattern recognition
- support vector machine
- classification accuracy
- training samples
- test set
- data sets
- data mining
- distance function
- information extraction
- artificial intelligence
- knowledge acquisition
- machine learning algorithms
- training data
- training examples
- reinforcement learning
- svm classifier
- learning tasks
- euclidean distance
- computer vision
- feature selection
- gaussian processes
- distance transform
- linear regression
- learning algorithm
- test data
- natural language processing
- computer science
- feature space
- knowledge representation
- text classification
- mercer kernels
- locally weighted
- ridge regression
- regression algorithm
- support vector regression
- kernel methods
- classification algorithm