Author:
Bagherjeiran A.,Eick C. F.
Publisher
Springer Berlin Heidelberg
Reference52 articles.
1. Niloofar Arshadi and Igor Jurisica. Maintaining case-based reasoning systems: A machine learning approach. In Proc. 7th European Conf. on Adv. in Case-Based Reasoning, LNAI 3155, pages 17–31, Madrid, Spain, September 2004.
2. Abraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, and Ricardo Vilalta. Adaptive clustering: Obtaining better clusters using feedback and past experience. In Proc. 5th Int’l Conf. on Data Mining, pages 565–568, Houston, TX, USA, November 2005. IEEE Computer Society.
3. Maria-Florina Balcan and Avrim Blum. On a theory of learning with similarity functions. In Proc. 23rd Int’l Conf. on Machine Learning, pages 73–80, 2006.
4. C.L. Blake and C.J. Merz. UCI repository of machine learning databases, 1998.
5. Leon Bobrowski and Magdalena Topczewska. Improving the k-NN classification with the Euclidean distance through linear data transformations. In Petra Perner, editor, Adv. in Data Mining, Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications, LNAI 3275, pages 23–32. Springer Verlag, 2004.
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Case-Based Reasoning – Methods, Techniques, and Applications;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2019
2. Model Development and Incremental Learning Based on Case-Based Reasoning for Signal and Image Analysis;Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications;2017
3. Case-Based Reasoning and the Statistical Challenges II;Advances in Intelligent Systems and Computing;2014
4. Conceptual Neighborhoods for Retrieval in Case-Based Reasoning;Case-Based Reasoning Research and Development;2009
5. Case-based reasoning and the statistical challenges;Quality and Reliability Engineering International;2008-10