A Probabilistic Theory of Pattern Recognition

Devroye, L., Györfi, L., & Lugosi, G. (1996). A Probabilistic Theory of Pattern Recognition. Springer.

Type

Book

Intellectual base

Review or monograph

Year

1996

DOI

10.1007/978-1-4612-0711-5

ISBN

9781461268772

DOI registrant

Springer Nature

Link

https://doi.org/10.1007/978-1-4612-0711-5

Cited from

statistics_experimental_design

Cited by

2 citations across 2 artifacts.

Primes

• Distributional Assumption
  • Distributional assumption provides those constraints, allowing inference to proceed—a constraint logic Devroye, Györfi, and Lugosi (1996) formalize in their treatment of nonparametric density estimation and the curse of dimensionality.

    Supported in partVerified against the publisher's abstract

    The book's abstract confirms nonparametric methods and distribution-free properties/inequalities, not density estimation or the curse of dimensionality specifically.

    “Wherever possible, distribution-free properties and inequalities are derived.”

    Read by an automated reader; not a human review. How support was checked

Domain-specific

• Bayes classifier
  • A Bayes classifier selects the class action with minimum posterior expected loss; under zero-one loss it chooses the maximum-posterior class.

Verification

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