MULTI-OUTPUT LEAST SQUARES TSVR
English

Min Hou, Liya Fan
2017 International Journal of Applied Mathematics and Machine Learning  
In order to improve the regression accuracy of MLS-SVR presented by Xu et al. [10] with a fast training algorithm, this paper proposes a new regression method named as multioutput least squares twin SVR (MLS-TSVR) for multi-output problems. The main advantage of the proposed method is that the relations among output weight vectors are considered as a whole rather than decomposed in MLS-SVR. Experimental results show that MLS-TSVR has a good property on regression accuracy.
doi:10.18642/ijamml_7100121755 fatcat:i5bm2rsjj5hjhbox7okzqji5wu