A Random Forest Regression Method With Selected-Text Feature For Depression Assessment.
Bo SunYinghui ZhangJun HeLejun YuQihua XuDongliang LiZhaoying WangPublished in: AVEC@ACM Multimedia (2017)
Keyphrases
- random forest
- regression method
- feature importance
- feature set
- random forests
- kernel function
- decision trees
- multi label
- regression model
- linear regression
- feature vectors
- regression analysis
- support vector machine
- image features
- support vector regression
- text mining
- feature selection
- neural network
- pattern recognition
- ensemble methods
- partial least squares
- semi supervised
- data sets
- knn
- classification accuracy
- artificial neural networks
- feature space
- training data
- face recognition
- image processing
- data mining