Ensemble Deep Learning for Biomedical Time Series Classification

Algorithm 1

Pseudocode of explicit training.

Algorithm]: Explicit Training

Input]: Training Samples ,  , Validation Samples ,  

Output]: An DNN Model

Begin

 Best = 0

 while (!StopCondition)

  dW =                 //Initialize the weight changes

  for    to  

    = LocalViewTransform(, rand)      //Perform the local view transformation (start from a random position)

    = DistortedViewTransform(, rand)   //Perform the distorted view transformation with high probability

   dW = dW + BackPropagation(, )      //Invoke Backpropagation and accumulate

   if ( %   == 0)                // training samples have been presented to the network

    UpdateNN(dW)               //Adjust the weights

    dW =

    Matrix =               //Initialize the confusion matrix

    for    to  

      = LocalViewTransform(, fixed) //Perform the local view transformation (start from a particular position)

     Matrix = Matrix + Test(, )  //Test the current DNN model

    end

    if (Performance(Matrix) > Best)

     Best = Performance(Matrix)

     SaveNN(Model)

    end

   end

  end

 end

End