Valid Generalisation from Approximate Interpolation
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Publication:4715266
DOI10.1017/S096354830000198XzbMath0865.60041OpenAlexW2162500594MaRDI QIDQ4715266
Martin Anthony, Bartlett, Peter L., John Shawe-Taylor, Yuval Ishai
Publication date: 7 July 1997
Published in: Combinatorics, Probability and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s096354830000198x
Cites Work
- Fast probabilistic algorithms for Hamiltonian circuits and matchings
- Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
- Decision theoretic generalizations of the PAC model for neural net and other learning applications
- Feedforward nets for interpolation and classification
- Bounding sample size with the Vapnik-Chervonenkis dimension
- A result of Vapnik with applications
- Characterizations of learnability for classes of \(\{0,\dots,n\}\)-valued functions
- Learnability and the Vapnik-Chervonenkis dimension
- A theory of the learnable
- On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
- Convergence of stochastic processes
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