Statistical Aspects of High-Dimensional Sparse Artificial Neural Network Models.
Kaixu YangTapabrata MaitiPublished in: Mach. Learn. Knowl. Extr. (2020)
Keyphrases
- high dimensional
- artificial neural network models
- sparse data
- low dimensional
- logistic regression
- generalized linear models
- dimensionality reduction
- statistical analysis
- multi dimensional
- high dimensionality
- statistical models
- real estate
- sparse coding
- data points
- additive models
- high dimension
- metric space
- computer vision
- nearest neighbor
- similarity search
- feature space
- reinforcement learning
- regression model
- microarray
- kernel function
- parameter space
- k nearest neighbor
- support vector regression
- variable selection
- multi layer perceptron
- dynamic programming
- image processing
- genetic algorithm