The Nature of Statistical Learning Theory¶
Vapnik, V. N. (1995). The Nature of Statistical Learning Theory. Springer.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Nonparametric Methods
- Modern nonparametric methods (Gaussian processes, Dirichlet process mixtures, neural networks) are sophisticated, require substantial computational and theoretical expertise, and have implicit smoothness or regularity assumptions embedded in their kernels, priors, or architectures
This sourceVapnik kernel methods SVM nonparametric flexibility learning theory.
- Modern nonparametric methods (Gaussian processes, Dirichlet process mixtures, neural networks) are sophisticated, require substantial computational and theoretical expertise, and have implicit smoothness or regularity assumptions embedded in their kernels, priors, or architectures
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