Multi-task linear programming discriminant analysis for the identification of progressive mci individuals

HIGHLIGHTS

• who: Guan Yu et al. from the Department of Statistics and Operations Research, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America, Department of have published the article: Multi-Task Linear Programming Discriminant Analysis for the Identification of Progressive MCI Individuals, in the Journal: PLOS ONE | www.plosone.org of May/12,/2014
• what: The authors propose a new and flexible binary classification method namely Multi-task Linear Programming Discriminant (MLPD) analysis for the incomplete multi-source feature learning. In this paper, since different tasks correspond to different . . .
  

   

  

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