Differential Description Length for Hyperparameter Selection in Machine Learning.
Anders Høst-MadsenMojtaba AbolfazliJune ZhangPublished in: CoRR (2019)
Keyphrases
- machine learning
- machine learning algorithms
- model selection
- machine learning approaches
- machine learning methods
- learning tasks
- knowledge acquisition
- supervised learning
- selection criteria
- information extraction
- knowledge representation
- computer science
- active learning
- pattern recognition
- machine learning and data mining
- high level
- decision trees
- computer vision
- artificial intelligence
- learning algorithm
- information retrieval
- data sets
- supervised machine learning
- explanation based learning
- hyperparameters
- selection algorithm
- cross validation
- text classification
- computational intelligence
- support vector machine
- knowledge discovery
- reinforcement learning
- genetic algorithm
- data mining