Evolutionary Algorithms with Graph Kernels
Author:
Affiliation:
1. Faculty of Science and Engineering, Kindai University
2. Graduate School of Science and Engineering, Kindai University
Publisher
Japan Society for Fuzzy Theory and Intelligent Informatics
Link
https://www.jstage.jst.go.jp/article/jsoft/29/1/29_14/_pdf
Reference9 articles.
1. [1] H. Kashima, K. Tsuda, and A. Inokuchi: “Marginalized kernels Between Labeled Graphs”, Proc. 20th International Conference on Machine learning, pp.321-328 (2003)
2. [2] P. Larrañaga, and J. A. Lozano: “Estimation of Distribution Algorithms”, Kluwer Academic Publishers (2003)
3. [3] M. Pelikan, D. E. Goldberg, and E. Cantú-paz: “BOA: The bayesian optimization algorithm”, Proc. of the 1999 Genetic and Evolutionary Computation Conf., pp.525-532 (1999)
4. [4] P. A. N. Bosman, J. Grahl, and D. Thierens: “Enhancing the performance of maximum-likelihood Gaussian EDAs using anticipated mean shift”, Proc. 10th International Conference on Parallel Problem Solving from Nature PPSN X, pp.133-143 (2008)
5. [7] K. M. Borgwardt, and H.-P. Kriegel: “Shortest-path kernels on graphs”, Proc. 5th International Conference Data Mining (2005)
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