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008			151120b xxu||||| |||| 00| 0 eng d
040			_c
100			_aJincy B Chrystal ( 935140068 ) _98111
245			_aStructured support vector machine for multi-label classification
500			_aMini Project Report, Mphill CS
502			_bMphill. Computer Science _c2014-2015 _dINT _eAsharaf S
520			_a Multi label classification problem deals with the classification problems in which each input instance can be associated with one or more class labels. During the past decade, significant amount of progresses have been made towards this emerging paradigm. This work aims to propose an approach of multi-label classification using Structured SVM, which is an optimized learning algorithm for complex and structured outputs. The work also analyses the performance of the system by analyzing the accuracy, precision and performance of the system.
650			_aCOMPUTING METHODOLOGIES _98112
650			_aMACHINE LEARNING _98113
650			_aMACHINE LEARNING APPROACHES _98114
650			_aLOGICAL AND RELATIONAL LEARNING _98115
942			_2ddc _cPR
999			_c4891 _d4891