Towards meta-learning for multi-target regression problems.
Gabriel Jonas AguiarEverton José SantanaSaulo Martiello MasteliniRafael Gomes MantovaniSylvio Barbon Jr.Published in: CoRR (2019)
Keyphrases
- meta learning
- multi target
- regression problems
- random forests
- machine learning algorithms
- model selection
- decision trees
- cross validation
- hyperparameters
- linear regression
- genetic programming
- feature selection
- learning tasks
- inductive learning
- ensemble methods
- machine learning
- base classifiers
- learning algorithm
- high dimensional data
- logistic regression
- random forest
- data mining
- support vector machine
- data fusion
- dimensionality reduction