1. Statistics: the art and science of learning from data;Agresti,2009
2. The high-dimension, low-sample-size geometric representation holds under mild conditions;Ahn;Biometrika,2007
3. Introduction to interval computations;Alefeld,1983
4. Interval analysis: theory and applications;Alefeld;Journal of Computational and Applied Mathematics,2000
5. Anastasiadis, A.D. (2005). Neural networks training and applications using biological data, Ph.D. thesis, Birkbeck College, University of London.