SVM learning with the Schur–Hadamard inner product for graphs

Author:

Jain Brijnesh J.,Geibel Peter,Wysotzki Fritz

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference15 articles.

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3. T. Gärtner, P.A. Flach, S. Wrobel, On graph kernels: hardness results and efficient alternative, in: Proceedings of the 16th Annual Conference on Computational Learning Theory and the 7th Kernel Workshop, 2003.

4. Learning relational concepts with decision trees;Geibel,1996

5. A graduated assignment algorithm for graph matching;Gold;IEEE Trans. Pattern Anal. Machine Intelligence,1996

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