High-Dimensional Learning Under Approximate Sparsity with Applications to Nonsmooth Estimation and Regularized Neural Networks.
Hongcheng LiuYinyu YeHung Yi LeePublished in: Oper. Res. (2022)
Keyphrases
- high dimensional
- neural network
- learning algorithm
- reinforcement learning
- neural nets
- fuzzy logic
- learning process
- connectionist systems
- feedforward neural networks
- high dimensionality
- learning systems
- least squares
- pattern recognition
- low dimensional
- parameter estimation
- learning problems
- prior knowledge
- incremental learning
- support vector
- feature selection