1. Noga Alon, Shai Ben-David, Nicolo Cesa-Bianchi, and David Haussler: Scale-sensitive dimensions, uniform convergence, and learnability. Journal of the ACM 44(5): 616–631.
2. Martin Anthony: Probabilistic analysis of learning in artificial neural networks: the PAC model and its variants. Neural Computing Surveys, 1, 1997.
3. Martin Anthony and Peter L. Bartlett: Neural Network Learning: Theoretical Foundations. Cambridge University Press, Cambridge UK, 1999.
4. Martin Anthony and Norman L. Biggs: Computational Learning Theory: An Introduction. Cambridge Tracts in Theoretical Computer Science, 30, 1992. Cambridge University Press, Cambridge, UK.
5. András Antos, Balázs Kégl, Tamás Linder and Gábor Lugosi: Data-dependent margin-based generalization bounds for classification. Preprint, Queen’s University at Kingston, Canada, magenta.mast.queensu.ca/~linder/preprints.html.