A tensorized multitask deep learning network for progression prediction of alzheimer`s disease

HIGHLIGHTS

  • who: Solale Tabarestani and Malek Adjouadi from the Center for Advanced Technology and Education, Florida International University, Miami, FL, United States, Harvard have published the paper: A Tensorized Multitask Deep Learning Network for Progression Prediction of Alzheimer`s Disease, in the Journal: (JOURNAL)
  • what: The overall objective function, in this case, could be modeled as an algorithm in which yr=Er (xm1, xm2, xm3, xm4, xm5 ) and yc=Ec (xm1, xm2, xm3, xm4, xm5 ) with Er and Ec being the corresponding estimators. In this experiment, the results of the multiclass classification considering the four groups . . .

     

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