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API 2B Specification for the Fabrication of Structural Steel by American Petroleum Institute PDF

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R. Hancock, A quantum Jensen–Shannon graph kernel for unattributed graphs. Pattern Recognit. 48(2), 344–355 (2015) 139. T. Gärtner, Exponential and geometric kernels for graphs, in NIPS Workshop on Unreal Data: Principles of Modeling Nonvectorial Data (2002) 140. H. Kashima, A. Inokuchi, Kernels for graph classification, in Proceedings of the ICDM Workshop on Active Mining (2002), pp. 31–36 141. H. Kashima, K. Tsuda, A. Inokuchi, Marginalized kernels between labeled graphs, in Proceedings of the 20th International Conference on Machine Learning (AAAI Press, 2003), pp.

Pattern Recognit. 40(10), 2874–2889 (2007) 128. C. Wilson, P. Zhu, A study of graph spectra for comparing graphs and trees. Pattern Recognit. 41(9), 2833–2841 (2008) 129. B. Schölkopf, A. Smola, Learning with Kernels (MIT Press, Cambridge, 2002) 130. T. Gärtner, A survey of kernels for structured data. SIGKDD Explor. 5(1), 49–58 (2003) 131. T. Gärtner, P. Flach, S. Wrobel, On graph kernels: hardness results and efficient alternatives, in Proceedings of the 16th Annual Conference on Learning Theory, ed.

Baldi, Graph kernels for chemical informatics. Neural Netw. 18(8), 1093–1110 (2005) 56. W. Raymond, P. Willett, Maximum common subgraph isomorphism algorithms for the matching of chemical structures. J. -Aided Mol. Des. 16(7), 521–533 (2002) 57. J. Kinable, O. Kostakis, Malware classification based on call graph clustering. J. Comput. Virol. 7(4), 233–245 (2011) 58. M. Bourquin, A. King, E. Robbins, Binslayer: accurate comparison of binary executables, in Proceedings of the 2nd ACM SIGPLAN Program Protection and Reverse Engineering Workshop (2013) 59.

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API 2B Specification for the Fabrication of Structural Steel Pipe by American Petroleum Institute


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