1. Aha, D.W., Kibler, D., Albert, M.K., “Instance-based learning algorithms,” Machine Learning, 6, pp. 37-66, 1991.
2. Aksela, M., Adaptive Combinations of Classifiers with Application to On-line Handwritten Character Recognition, Ph.D. Thesis, Department of Computer Science and Engineering, Helsinki University of Technology, Helsinki, 2007.
3. Asuncion, A., Newman, D.J., “UCI Machine Learning Repository,” Irvine, CA: University of California, School of Information and Computer Science, http://www.ics.uci.edu/~mlearn/MLRepository.html , 2007.
4. Barbucha, D., Czarnowski, I., J drzejowicz, P., Ratajczak-Ropel, E. and Wierzbowska, I., “JADE-Based A-Team as a Tool for Implementing Population- Based Algorithms,” in Proc. of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) (Yuehui Chen, Ajith Abraham eds.) IEEE Computer Society, 3, pp. 144-149, 2006.
5. Bhanu, B., Peng, J., “Adaptive Integration Image Segmentation and Object Recognition,” IEEE Trans. on Systems, Man and Cybernetics, 30, 4, pp. 427- 441, 2000.