Mathematical Problems in Engineering / 2013 / Article / Alg 1

Research Article

An Ensemble Method for High-Dimensional Multilabel Data

Algorithm 1

Ensemble multilabel classifier using feature selection (EMCFS).
Input: : The training multilabel data set;
   : The parameter of ;
   : The test data set without labels;
Output: : The label set of ;
Training stage
For each label in  do
  Obtain and of from according to Def. (1) and (2);
  Calculate with and according to Def. (6);
  For each feature in  do
   Calculate and according to Def. (4) and (5);
  Select the features whose or is larger than ;
  Train a binary classifier on with the selected features;
Prediction stage
For each sample in  do
  For each classifier  do
    , where returns 0 or 1;

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