An adaptation of Relief for attribute estimation in regression

@inproceedings{RobnikSikonja1997AnAO,
  title={An adaptation of Relief for attribute estimation in regression},
  author={Marko Robnik-Sikonja and Igor Kononenko},
  booktitle={ICML 1997},
  year={1997}
}
Heuristic measures for estimating the quality of attributes mostly assume the independence of attributes so in domains with strong dependencies between attributes their performance is poor. Relief and its extension ReliefF are capable of correctly estimating the quality of attributes in classification problems with strong dependencies between attributes. By exploiting local information provided by different contexts they provide a global view. We present the analysis of ReliefF which lead us to… CONTINUE READING
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