Regression on High-Dimensional Inputs.
Alexander P. KuleshovAlexander V. BernsteinPublished in: ICDM Workshops (2016)
Keyphrases
- high dimensional
- regression model
- multi variate
- generalized linear models
- high dimensionality
- regression problems
- nearest neighbor
- input space
- linear regression
- similarity search
- locally weighted
- model selection
- dimensionality reduction
- low dimensional
- data points
- feature space
- gaussian processes
- support vector regression
- polynomial regression
- gaussian process regression
- regression methods
- sparse data
- sparse coding
- high dimensional data
- variable selection
- multi modal
- simple linear
- microarray data
- gene expression data
- regression algorithm
- estimation problems
- high dimensional problems
- regression function
- decision trees
- aggregating algorithm
- kernel function
- ridge regression
- high dimension
- high dimensional spaces
- machine learning
- linear models