Is it worth to approximate fitness by machine learning?: investigation on the extensibility according to problem size.
Dong-Pil YuYong-Hyuk KimPublished in: GECCO (Companion) (2018)
Keyphrases
- machine learning
- population size
- evolutionary algorithm
- decision trees
- pattern recognition
- reinforcement learning
- text classification
- knowledge discovery
- learning tasks
- inductive logic programming
- machine learning algorithms
- inductive learning
- genetic programming
- evolutionary process
- computational complexity
- computer vision
- genetic algorithm
- databases
- exact solution
- machine learning approaches
- standard deviation
- memory requirements
- heavy hitters
- machine learning methods
- user defined
- learning systems
- semi supervised learning
- model selection
- text mining
- natural language processing
- data analysis
- learning environment
- data mining