A feature selection method for multivariate performance measures

• المؤلفون الرئيسيون: Mao, Qi, Tsang, Ivor Wai-Hung
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/100979; http://hdl.handle.net/10220/16693

Feature selection with specific multivariate performance measures is the key to the success of many applications such as image retrieval and text classification. The existing feature selection methods are usually designed for classification error. In this paper, we propose a generalized sparse regul...