1. Alphonse E, Matwin S (2002) Feature subset selection and inductive logic programming. In: Proceedings of the 19th international conference on machine learning, Sydney. Morgan Kaufmann, San Francisco, pp 11–18
2. Andrews S, Tsochantaridis I, Hofmann T (2003) Support vector machines for multiple-instance learning. In: Becker S, Thrun S, Obermayer K (eds) Advances in neural information processing systems, vol 15. MIT, Cambridge, pp 561–568
3. Angluin D (1988) Queries and concept learning. Mach Learn 2(4):319–342
4. Auer P (1997) On learning from multi-instance examples: empirical evaluation of a theoretical approach. In: Proceedings of the 14th international conference on machine learning, Nashville. Morgan Kaufmann, San Francisco, pp 21–29
5. Auer P, Long PM, Srinivasan A (1998) Approximating hyper-rectangles: learning and pseudorandom sets. J Comput Syst Sci 57(3):376–388