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2010 International Conference on Technologies and Applications of Artificial Intelligence
The sparse model character of 1-norm penalty term of Least Absolute Shrinkage and Selection Operator (LASSO) can be applied to automatic feature selection. Since 1-norm SVM is also designed with 1-norm (LASSO) penalty term, this study labels it as LASSO for classification. This paper introduces the smooth technique into 1-norm SVM and calls it smooth LASSO for classification (SLASSO) to provide simultaneous classification and feature selection. In the experiments, we compare SLASSO with otherdoi:10.1109/taai.2010.48 fatcat:sv5sz4yf6ndhvjr7frgdekdd2y