Convexity, Classification, and Risk Bounds

Bartlett, P. L., Jordan, M. I., & McAuliffe, J. D. (2006). Convexity, Classification, and Risk Bounds. Journal of the American Statistical Association, 138-156.

Type

Journal article

Intellectual base

Primary research

Year

2006

DOI

10.1198/016214505000000907

Link

https://doi.org/10.1198/016214505000000907

Cited by

1 citation across 1 artifact.

Domain-specific

• Fisher Consistency
  • In classification, a convex surrogate can be computationally convenient but must induce the same label decision as the Bayes classifier when expected surrogate risk is minimized.

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Registry ID ref:1b619117b253 · see in the full table