Generalized Autoregressive Linear Models for Discrete High-Dimensional Data.
Parthe PanditMojtaba Sahraee-ArdakanArash A. AminiSundeep RanganAlyson K. FletcherPublished in: IEEE J. Sel. Areas Inf. Theory (2020)
Keyphrases
- high dimensional data
- autoregressive
- linear models
- variable selection
- dimensionality reduction
- high dimensional
- low dimensional
- nearest neighbor
- non stationary
- high dimensionality
- linear model
- data sets
- data analysis
- dimension reduction
- data points
- random fields
- linear regression
- missing values
- linear discriminant analysis
- gaussian processes
- input data
- sparse representation
- pairwise
- machine learning
- semi supervised learning
- sar images
- pattern recognition
- principal component analysis
- data mining