Structured support vector machine for multi-label classification
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TextSubject(s): Dissertation note: Mphill. Computer Science 2014-2015 INT Summary:
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.
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Project Reports
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Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | Not for loan | R-612 |
Mini Project Report, Mphill CS
Mphill. Computer Science 2014-2015 INT Asharaf S
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.
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