Feature Importance Identification for Time Series Classifiers.
Han MengChristian WagnerIsaac TrigueroPublished in: SMC (2022)
Keyphrases
- feature importance
- random forest
- feature selection
- decision trees
- training data
- feature set
- linear classifiers
- naive bayes
- machine learning methods
- machine learning algorithms
- support vector
- non stationary
- symbolic aggregate approximation
- multiple classifiers
- classifier combination
- class labels
- semi supervised
- image segmentation
- neural network
- data sets
- stock market
- unsupervised learning
- ensemble learning
- dynamic time warping
- weak classifiers
- training set
- data mining