Highly Accurate Symbolic Regression with Noisy Training Data.
Michael F. KornsPublished in: GPTP (2015)
Keyphrases
- highly accurate
- symbolic regression
- training data
- genetic programming
- gene expression programming
- software package
- grammatical evolution
- capable of producing
- training set
- evolutionary computation
- test data
- high accuracy
- learning algorithm
- incomplete data
- high quality
- regression problems
- evolutionary algorithm
- decision trees
- classification accuracy
- parameter optimization
- training examples
- fitness function
- training samples
- supervised learning
- accurate models
- support vector machine
- data sets
- prior knowledge
- maximum likelihood
- missing values
- open source
- semi supervised learning
- labeled data