Guest Editorial: Regularisation Methods in Regression and Classification.
Gerhard TutzPublished in: Stat. Comput. (2010)
Keyphrases
- benchmark datasets
- machine learning methods
- model selection
- classification systems
- pattern recognition
- classification accuracy
- density estimation
- classification method
- cross validation
- k nearest neighbour
- benchmark data sets
- regression problems
- machine learning algorithms
- multiclass classification
- robust classification
- feature space
- feature extraction
- numeric values
- high dimensional data
- neural networks and support vector machines
- classification algorithm
- machine learning
- support vector machine svm
- text classification
- feature set
- supervised learning
- computational cost
- significant improvement
- feature vectors
- decision trees
- feature selection