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Conference Paper

Scalable kernels for graphs with continuous attributes

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Feragen,  Aasa
Research Group Machine Learning and Computational Biology, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Kasenburg,  Niklas
Research Group Machine Learning and Computational Biology, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Borgwardt,  Karsten
Research Group Machine Learning and Computational Biology, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Citation

Feragen, A., Kasenburg, N., Petersen, J., de Bruijne, M., & Borgwardt, K. (2014). Scalable kernels for graphs with continuous attributes. In C. J. Burges, L. Bottou, M. Welling, Z. Ghahramani, & K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 26 (pp. 216-224). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/2013/hash/a2557a7b2e94197ff767970b67041697-Abstract.html.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0015-3A1B-4
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