Principal component selection of machine learning algorithms based on orthogonal transformation by using interactive evolutionary computation.
Yan PeiPublished in: SMC (2016)
Keyphrases
- machine learning algorithms
- principal components
- interactive evolutionary computation
- benchmark data sets
- principal component analysis
- learning algorithm
- machine learning
- machine learning methods
- learning problems
- decision trees
- predictive accuracy
- multivariate data
- input features
- hyperplane
- dimensionality reduction
- random forests
- machine learning approaches
- principal component regression
- correlation coefficient
- machine learning models
- kernel space
- learning models
- machine learning systems
- standard machine learning algorithms
- covariance matrix
- feature set
- data warehouse
- statistical machine learning
- active learning
- machine learning and data mining algorithms
- feature space