Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
Lena SchmidAlexander GerharzAndreas GrollMarkus PaulyPublished in: CoRR (2022)
Keyphrases
- machine learning
- regression model
- multivariate time series
- model selection
- learning systems
- decision trees
- multivariate decision trees
- machine learning algorithms
- conditional density estimation
- classification and regression problems
- mixed data
- inductive learning
- learning algorithm
- information extraction
- pattern recognition
- input data
- data mining
- survival analysis
- feature selection
- regression methods
- explanation based learning
- learning problems
- learning tasks
- knowledge acquisition
- regression analysis
- machine learning methods
- permutation tests
- computer vision
- artificial intelligence
- multivariate regression
- mercer kernels
- text mining
- machine learning approaches
- regression method
- simple linear
- data analysis