Handling ambiguity via input-output kernel learning

• Main Authors: Xu, Xinxing, Tsang, Ivor Wai-Hung, Xu, Dong
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/99740; http://hdl.handle.net/10220/13014
• Institution: Nanyang Technological University

Data ambiguities exist in many data mining and machine learning applications such as text categorization and image retrieval. For instance, it is generally beneficial to utilize the ambiguous unlabeled documents to learn a more robust classifier for text categorization under the semi-supervised lear...