1. Bauer, E., Kohavi, R.: An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, Vol 36, 105–139. Kluwer (1999).
2. Blake, C.L., Merz, C.J.: UCI Repository of machine learning databases.
http://www.ics.uci.edu/~mlearn/MLRepository.html
, University of California, Irvine, Dept. of Information and Computer Sciences (1998).
3. Breiman, L. Bagging predictors. Machine Learning, Vol 24. Kluwer (1996) 123–140.
4. Breiman, L.: Pasting small votes for classification in large databases and on-line. Machine Learning, Vol 36. Kluwer (1999) 85–103.
5. Chan, P., Stolfo, S.: Towards parallel and distributed learning by meta-learning. AAAI Workshop on Knowledge Discovery and Databases. (1993) 227–240.