Focusing on Applicability Domain and Overfitting by Variable Selection.
Igor V. TetkoIurii SushkoAnil Kumar PandeyHao ZhuAlexander TropshaEster PapaTomas ÖbergRoberto TodeschiniDenis FourchesAlexandre VarnekPublished in: J. Chem. Inf. Model. (2008)
Keyphrases
- variable selection
- cross validation
- input variables
- model selection
- high dimensional
- stochastic search
- linear models
- dimension reduction
- real world
- feature selection
- support vector
- computer vision
- data sets
- group lasso
- high dimensional data
- low dimensional
- data mining techniques
- dimensionality reduction
- least squares
- training set
- feature space
- object recognition
- reinforcement learning