Highly Influenced

# 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} }

- Published 2007 in IEEE Transactions on Neural Networks
DOI:10.1109/TNN.2006.883012

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 forâ€¦Â CONTINUE READING

#### From This Paper

##### Figures, tables, and topics from this paper.

#### Citations

##### Publications citing this paper.

#### References

##### Publications referenced by this paper.

Showing 1-10 of 31 references

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential

Highly Influential