Model Selection for Regularized Least-Squares Classification.
Hui-Hua YangXing-Yu WangYong WangHai-Hua GaoPublished in: ICNC (1) (2005)
Keyphrases
- support vector machine svm
- model selection
- regularized least squares
- cross validation
- support vector machine
- hyperparameters
- feature extraction
- feature selection
- sample size
- regression model
- machine learning
- mixture model
- gaussian process
- unsupervised learning
- feature vectors
- variable selection
- sparse representation
- text classification
- classification accuracy
- decision trees
- data sets