Author:
Miyahara Tetsuhiro, ,Kuboyama Tetsuji,
Abstract
We apply a genetic programming approach to learning of glycan motifs by using tag tree patterns and various fitness functions. Tag tree patterns obtained from some glycan data show characteristic tree structures. We examine the effects of using various fitness functions on GP processes and obtained glycan motifs. We also show that our method is applicable to tree structured data other than glycan data.
Publisher
Fuji Technology Press Ltd.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction
Reference17 articles.
1. W. Banzhaf, P. Nordin, R. E. Keller, and F. D. Francone, “Genetic Programming: An Introduction : On the Automatic Evolution of Computer Programs and Its Applications,” Morgan Kaufmann, 1998.
2. J. R. Koza, “Genetic Programming: On the Programming of Computers by Means of Natural Selection,” MIT Press, 1992.
3. X. Yao (ed.), “Evolutionary Computation: Theory and Applications,” World Scientific, 1999.
4. K. C. Tan, M. H. Lim, X. Yao, and L. Wang (eds.), “Recent Advances in Simulated Evolution and Learning,” World Scientific, 2004.
5. K. Inata, T. Miyahara, H. Ueda, and K. Takahashi, “Evolution of characteristic tree structured patterns from semistructured documents,” Proc. AI-2006, Springer-Verlag, Vol.4304, pp. 1201-1207, 2006.
Cited by
7 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