Uncertainty Estimation Using Fuzzy Measures for Multiclass Classification

@article{Graves2007UncertaintyEU,
  title={Uncertainty Estimation Using Fuzzy Measures for Multiclass Classification},
  author={K. E. Graves and R. Nagarajah},
  journal={IEEE Transactions on Neural Networks},
  year={2007},
  volume={18},
  pages={128-140}
}
Uncertainty arises in classification problems when the input pattern is not perfect or measurement error is unavoidable. In many applications, it would be beneficial to obtain an estimate of the uncertainty associated with a new observation and its membership within a particular class. Although statistical classification techniques base decision boundaries according to the probability distributions of the patterns belonging to each class, they are poor at supplying uncertainty information for… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 31 references

Application of the back propagation neural network algorithm with monotonicity constraints for two-group classification problems,

  • N. P. Archer, S. Wang
  • Decision Sci.,
  • 1993
Highly Influential
15 Excerpts

and J

  • J. Francois, Y. Grandvalet, T. Denoeux
  • M. Roger, “Resample and combine: an approach to…
  • 2003
Highly Influential
5 Excerpts

Fuzzy sets and statistical data,

  • D. Dubois, H. Prade
  • Euro. J. Oper. Res.,
  • 1986
Highly Influential
4 Excerpts

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