An Artificial Life Approach for Semi-supervised Learning

Author:

Herrmann Lutz,Ultsch Alfred

Publisher

Springer Berlin Heidelberg

Reference10 articles.

1. BELKIN, M., SINDHWANI, V., NIYOGI, P. (2006): The Geometric Basis of Semi-Supervised Learning. In: O. Chapelle, B. Scholkopf, and A. Zien (Eds.): Semi-Supervised Learning. MIT Press, 35-54.

2. BILENKO, M., BASU, S., MOONEY, R.J. (2004): Integrating Constraints and Metric Learn-ing in Semi-Supervised Clustering. In: Proc. 21st International Conference on Machine Learning (ICML 2004). Banff, Canada, 81-88.

3. KOHONEN, T. (1982): Self-organized formation of topologically correct feature maps. In: Biological Cybernetics (43). 59-69.

4. RAMOS, V., ABRAHAM, A. (2003): Swarms on Continuous Data. In: Proc. Congress on Evolutionary Computation. IEEE Press, Australia, 1370-1375.

5. ULTSCH, A. (2000): Visualization and Classification with Artificial Life. In: Proceedings Conf. Int. Fed. of Classification Societies (ifcs). Namur, Belgium.

Cited by 2 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. Improving constrained clustering via swarm intelligence;Neurocomputing;2013-09

2. Constrained Clustering via Swarm Intelligence;Bio-Inspired Computing and Applications;2012

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