Learning to Find Graph Pre-images

Author:

Bakır Gökhan H.,Zien Alexander,Tsuda Koji

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Bakır, G.H., Weston, J., Schölkopf, B.: Learning to find pre-images. In: Thrun, S., Saul, L., Schölkopf, B. (eds.) Advances in Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge (2004) (to appear)

2. Debnath, A.K., Lopez de Compadre, R.L., Debnath, G., Shustermann, A.J., Hansch, C.: Structure-Activity Relationship of Mutagenic Aromatic and Heteroaromatic Nitro Compounds. Correlation with Molecular Orbital Energies and Hydrophobicity. J. Med. Chem. 34, 786–797 (1991)

3. Haussler, D.: Convolutional kernels on discrete structures. Technical Report UCSCCRL- 99-10, Computer Science Department, U. of California at Santa Cruz (1999)

4. Jiang, X., Münger, A., Bunke, H.: On Median Graphs: Properties, Algorithms, and Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(10), 1144–1151 (2001)

5. Joachims, T.: Text categorization with support vector machines: Learning with many relevant features. In: Nédellec, C., Rouveirol, C. (eds.) Proceedings of the European Conference on Machine Learning, Berlin, pp. 137–142. Springer, Heidelberg (1998)

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