Improved Estimation of High-dimensional Additive Models Using Subspace Learning.
Shiyuan HeKejun HeJianhua Z. HuangPublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- subspace learning
- additive models
- high dimensional
- dimensionality reduction
- low dimensional
- manifold learning
- high dimensional data
- sparse coding
- data representation
- linear models
- linear classifiers
- high dimensionality
- reproducing kernel hilbert space
- semi supervised
- learning algorithm
- feature space
- input space
- principal component analysis
- sparse representation
- variable selection
- multi class
- parameter space
- face recognition
- similarity search
- gaussian process
- singular value decomposition
- data sets
- training samples
- nearest neighbor
- pattern recognition
- feature extraction
- neural network