Bias-corrected Quantile Regression Forests for high-dimensional data.
Nguyen Thanh TungJoshua Zhexue HuangThuy Thi NguyenImran KhanPublished in: ICMLC (2014)
Keyphrases
- high dimensional data
- quantile regression
- least squares
- cross validated
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensionality
- high dimensional
- data analysis
- subspace clustering
- data sets
- data points
- linear discriminant analysis
- dimension reduction
- cross validation
- missing values
- manifold learning
- response variable
- random forest
- variable selection
- lower dimensional
- clustering high dimensional data
- learning algorithm
- high dimensional spaces
- text classification