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A Checklist for Variable and Feature Selection

  1. Do you have domain knowledge? If yes, construct a better set of “ad hoc” features.
  2. Are your features commensurate? If no, consider normalizing them.
  3. Do you suspect interdependence of features? If yes, expand your feature set by constructing conjunctive features or products of features, as much as your computer resources allow you (see example of use in Section 4.4).

MOD 2016: 2nd International Workshop on Machine Learning, Optimization & Big Data

http://www.taosciences.it/mod/

CALL FOR PAPERS

Paper submission deadline: February 28, 2016

http://www.taosciences.it/mod/call-for-papers/

https://easychair.org/conferences/?conf=mod2016

KEYNOTE SPEAKERS

Nello Cristianini, Bristol University, UK

Stephen H. Muggleton, Imperial College London, UK

Other Keynote Speakers will be announced soon

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