Fast Generalized Matrix Regression with Applications in Machine Learning.
Haishan YeShusen WangZhihua ZhangTong ZhangPublished in: CoRR (2019)
Keyphrases
- machine learning
- classification and regression problems
- model selection
- machine learning methods
- regression model
- machine learning algorithms
- learning algorithm
- computer vision
- knowledge acquisition
- pattern recognition
- singular value decomposition
- survival analysis
- eigenvalue problems
- artificial intelligence
- linear regression
- text mining
- support vector regression
- learning systems
- linear algebra
- information extraction
- active learning
- support vector
- decision trees
- mercer kernels
- eigenvalue decomposition
- polynomial regression
- locally weighted
- regression function
- regression algorithm
- neural network
- regression problems
- learning machines
- machine learning approaches
- learning problems
- learning tasks
- data mining
- partial least squares
- ridge regression
- rough approximations
- generalized linear
- natural language processing
- knowledge discovery
- artificial neural networks
- feature selection