Fine Tuning Run Parameter Values in Rule-Based Machine Learning.
Sotiris MoschoyiannisVasily ShcherbininPublished in: RuleML+RR (Supplement) (2019)
Keyphrases
- parameter values
- fine tuning
- machine learning
- parameter settings
- viable alternative
- fine tune
- parameter estimation
- fine tuned
- machine learning algorithms
- optimal parameter values
- machine learning methods
- expert systems
- support vector machine
- information extraction
- data driven
- optimal parameters
- machine learning approaches
- active learning
- supervised learning
- text mining
- artificial intelligence
- parameter space
- data mining
- learning algorithm
- feature selection
- decision trees
- pattern recognition
- inductive logic programming
- data analysis
- model selection
- natural language processing
- learning tasks
- natural language
- explanation based learning
- rule based systems
- computer science
- computational intelligence
- genetic algorithm