This paper proposes a new learning framework, which combines multi-valued attribute decomposition with multi-label learning. To deal with multi-valued attribute ...

This paper proposes a new learning framework, which combines multi-valued attribute decomposition with multi-label learning. To deal with multi-valued attribute ...

This paper proposes a new learning framework, which combines multi-valued attribute decomposition with multi-label learning. To deal with multi-valued attribute ...

This paper proposes a new learning framework, which combines multi-valued attribute decomposition with multi-label learning. To deal with multi-valued attribute ...

Experiments on several multi-label datasets show that, employing classification in the embedded space results in much simpler models than regression, ...

Hong Li, Yuejian Guo, Min Wu, Ping Li, Yao Xiang: Combine multi-valued attribute decomposition with multi-label learning. Expert Syst.

This paper proposes a new learning framework, which combines multi-valued attribute decomposition with multi-label learning. To deal with multi-valued attribute ...

Guo, M. Wu, P. Li, Y. Xiang. Combine multi-valued attribute decomposition with multi-label learning. Expert Systems with Applications, 2010, 37 (12): 8721-8728.

Combine multi-valued attribute decomposition with multi-label learning. Hong Li, Yuejian Guo, Min Wu, Ping Li, Yao Xiang. 2010, Expert systems with ...

Multi-label classification is a generalization of multiclass classification, which is the single-label problem of categorizing instances into precisely one of ...