Recursive Dependent Binary Relevance Model for Multi-label Classification

Thomas W. Rauber; Lucas Henrique Sousa Mello; Victor F. Rocha; Diego Luchi; Flávio Miguel Varejão

doi:10.1007/978-3-319-12027-0_17

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Recursive Dependent Binary Relevance Model for Multi-label Classification

Thomas W. Rauber Lucas Henrique Sousa Mello Victor F. Rocha Diego Luchi Flávio Miguel Varejão

Year: 2014 Lecture notes in computer science Pages: 206-217 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-12027-0_17

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Keywords:

Computer science Robustness (evolution) Binary number Relevance (law) Dependency (UML) Artificial intelligence Binary decision diagram Binary classification Pattern recognition (psychology) Algorithm Machine learning Data mining Mathematics Support vector machine Arithmetic

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Machine Learning and Algorithms

Physical Sciences → Computer Science → Artificial Intelligence

Recursive Dependent Binary Relevance Model for Multi-label Classification

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