Estimating the Growing Stem Volume of Coniferous Plantations Based on Random Forest Using an Optimized Variable Selection Method.
Fugen JiangMykola KutiaArbi J. SarkissianHui LinJiangping LongHua SunGuangxing WangPublished in: Sensors (2020)
Keyphrases
- random forest
- variable selection
- cross validation
- decision trees
- dimension reduction
- feature set
- genetic programming
- pairwise
- similarity measure
- feature vectors
- support vector machine
- text mining
- neural network
- simulated annealing
- image classification
- artificial neural networks
- model selection
- machine learning methods
- preprocessing
- computer vision