Deep Random Forest with Ferroelectric Analog Content Addressable Memory.
Xunzhao YinFranz MüllerAnn Franchesca LagunaChao LiWenwen YeQingrong HuangQinming ZhangZhiguo ShiMaximilian LedererNellie LaleniShan DengZijian ZhaoMichael T. NiemierXiaobo Sharon HuCheng ZhuoThomas KämpfeKai NiPublished in: CoRR (2021)
Keyphrases
- random forest
- content addressable memory
- random forests
- decision trees
- high speed
- feature set
- ensemble methods
- multi label
- feature importance
- fold cross validation
- ensemble learning
- decision tree learning algorithms
- signal processing
- real time
- machine learning methods
- base classifiers
- active learning
- training set
- neural network
- data sets