Cognitively inspired rule-plus-exemplar based pattern classification

• المؤلف الرئيسي: Sit, Wing Yee
• مؤلفون آخرون: Mao Kezhi
• التنسيق: Theses and Dissertations
• اللغة: English
• منشور في: 2014
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/61749

Despite the many strengths of machine learning pattern classification techniques, they have intrinsic weaknesses compared to human learning, which is far more comprehensible, adaptive, and flexible. These are issues that need to be addressed. In applications where the classifiers play supporting rol...