Relational Data Kernel Function

A Relational Data Kernel Function is a kernel function for relational data.

• AKA: Relational Kernel.
• Context:
  • It can range from being a String Kernel, to being a Tree Kernel, to being a Matrix Kernel, to being a Graph Kernel, ...
• Example(s):
  • a Convolution Kernel Function.
• See: Kernel Method, Tuple Kernel, Vector Kernel.

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References

2005

• (Menchetti, 2005) ⇒ S. Menchetti. (2005). “Learning Preference and Structured Data: Theory and Applications. PhD Thesis DSI University of Florence.

2003

• (Zelenko et al., 2003) ⇒ D. Zelenko, C. Aone, and A. Richardella. (2003). “Kernel Methods for Relation Extraction. Journal of Machine Learning Research.

2002

• (Vishwanathan and Smola, 2002) ⇒ S. V. N. Vishwanathan, and A. J. Smola. (2001). “Fast Kernels for String and Tree Matching.” In: Proceedings of NIPS-2002.

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