Statistical Learning Theory

Vapnik, V. N. (1998). Statistical Learning Theory. Wiley.

Type

Book

Intellectual base

Textbook

Year

1998

Link

https://openlibrary.org/works/OL2720037Wmatched

Cited from

philosophy, statistics_experimental_design

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Inductive Reasoning
  • Statistical learning theory
• Overfitting
  • Overfitting trains a reasoner to ask: What is the model (or rule, or procedure), and what is its capacity to fit patterns

    This sourceVapnik Statistical Learning Theory generalization induction.

Domain-specific

• Sample complexity
  • Vapnik–Chervonenkis dimension supplies one important capacity measure: for binary classification, finite VC dimension characterizes distribution-free PAC learnability and governs familiar upper and lower sample bounds.

Verification

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