Immune Inspired Adaptive Information Filtering: Focusing on Profile Adaptation
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-32711-7_24
Reference15 articles.
1. Azmi, N.F.M., Timmis, J., Polack, F.: Profile adaptation in adaptive information filtering: An immune inspired approach. In: Proceedings of the IEEE Int. Conf. on Soft Computing and Pattern Recognition (2009)
2. Azmi, N.F.M., Timmis, J., Polack, F.: Towards a principled design of bio-inspired solutions to adaptive information filtering. In: Proceedings of the IEEE Int. Conf. on Engineering of Complex Computer Systems, ICECCS (2010)
3. Baldi, P., Brunak, S., Chauvin, Y., Andersen, C.A.F., Nielsen, H.: Assessing the accuracy of prediction algorithms for classification: An overview. Bioinformatics, 412–424 (2000)
4. Lecture Notes in Computer Science;S. Cayzer,2006
5. Lecture Notes in Computer Science;S. Cayzer,2005
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