Selection of Variables by the F-Score Algorithm for Radiated Magnetic Field Signals Discrimination of Electrical Discharges

EasyChair Preprint no. 359, version history

Mohamed Gueraichi, Hocine Moulai and Azzedine Nacer

Version	Date	Pages	Version notes
1	July 20, 2018	5	—
2	October 7, 2018	5	We prefer to replace the term learning with the term training, much more used in machine learning. We have summarized the F-Score algorithm with the proposed threshold, in the form of a flowchart as proposed by one of the reviewers. We also refined and expanded the values of the C and Sigma parameters of the model, so that we found new values of the DSSAT recognition rate equal to 33.33% instead of 28.57% and therefore the training and the testing times bigger. We have corrected some references, in particular in reference 8 where we replaced "regression" instead of regesssion and add "page to page" to references 8 and 9.

Keyphrases: Electrical discharges, F-score, Insulation Systems, Support Vector Machines (SVMs), Variables Selection

BibTeX entry

BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:

@Booklet{EasyChair:359,
  author = {Mohamed Gueraichi and Hocine Moulai and Azzedine Nacer},
  title = {Selection of Variables by the F-Score Algorithm for Radiated Magnetic Field Signals Discrimination of Electrical Discharges},
  howpublished = {EasyChair Preprint no. 359},

  year = {EasyChair, 2018}}