Laplacian embedded regression for scalable manifold regularization

• المؤلفون الرئيسيون: Chen, Lin, Tsang, Ivor Wai-Hung, Xu, Dong
• 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/10356/99250; http://hdl.handle.net/10220/13482
• المؤسسة: Nanyang Technological University

Semi-supervised learning (SSL), as a powerful tool to learn from a limited number of labeled data and a large number of unlabeled data, has been attracting increasing attention in the machine learning community. In particular, the manifold regularization framework has laid solid theoretical foundati...