A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables.
Jorge García-GutiérrezFrancisco Martínez-ÁlvarezAlicia Troncoso LoraJosé C. RiquelmePublished in: Neurocomputing (2015)
Keyphrases
- machine learning
- model selection
- classification and regression problems
- regression model
- target variable
- pattern recognition
- semi parametric
- machine learning methods
- regression problems
- natural language processing
- variable selection
- data mining
- urban areas
- ordinary least squares
- input variables
- support vector regression
- learning algorithm
- learning tasks
- artificial intelligence
- machine learning algorithms
- computer vision
- nonparametric regression
- supervised learning
- information extraction
- high resolution
- data analysis
- feature selection
- regression coefficients
- explanatory variables
- continuous valued
- mercer kernels
- lidar data
- estimation problems
- explanation based learning
- gaussian processes
- causal models
- linear regression
- text mining
- image sequences