Randomized Variable Elimination

@article{Stracuzzi2002RandomizedVE,
  title={Randomized Variable Elimination},
  author={David J. Stracuzzi and Paul E. Utgoff},
  journal={Journal of Machine Learning Research},
  year={2002},
  volume={5},
  pages={1331-1362}
}
Variable selection, the process of identifying input varia bles that are relevant to a particular learning problem, has received much attention in the learning commun ity. Methods that employ a learning algorithm as a part of the selection process (wrappers) have been shown to outperform methods that select variables independently from the learning algo rithm (filters), but only at great computational expense. We present a randomized wrapper algorith m w ose computational requirements are… CONTINUE READING
Highly Cited
This paper has 60 citations. REVIEW CITATIONS
26 Citations
29 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

60 Citations

051015'02'05'09'13'17
Citations per Year
Semantic Scholar estimates that this publication has 60 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 29 references

A practical approach to feature selection

  • D S
  • Applied Artificial Intelligence,
  • 1995
Highly Influential
5 Excerpts

The cascadecorrelation learning architecture

  • S. E. Fahlman
  • Advances in Neural Information Processing Systems
  • 2003

Architecture selection for neural networks : Application to corporate bond rating prediction

  • A. N. Refenes
  • Machine learning
  • 1997

Similar Papers

Loading similar papers…