A Kernel-Induced Space Selection Approach to Model Selection in KLDA.
Lei WangKap Luk ChanPing XueLuping ZhouPublished in: IEEE Trans. Neural Networks (2008)
Keyphrases
- model selection
- kernel induced
- feature selection
- selection criterion
- cross validation
- feature space
- hyperparameters
- model selection criteria
- fuzzy c means
- euclidean distance
- random projections
- mixture model
- machine learning
- selection criteria
- gaussian process
- information criterion
- automatic model selection
- high dimensionality
- unsupervised learning
- text classification
- marginal likelihood
- clustering algorithm
- variable selection
- kernel methods
- kernel matrix
- image reconstruction
- nearest neighbor
- support vector