John Shawe-Taylor

John Shawe-Taylor is a person.

• See: Statistical Learning Theory.

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References

• Professional Homepage: http://www.cs.ucl.ac.uk/staff/j.shawe-taylor/index.html
• DBLP Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/s/Shawe=Taylor:John.html

2004

• (Hardoon et al., 2004) ⇒ David R. Hardoon, Sandor R. Szedmak, and John R. Shawe-Taylor. (2004). “Canonical Correlation Analysis: An Overview with Application to Learning Methods.” In: Neural Computation Journal, 16(12). doi:10.1162/0899766042321814

2002

• (Lodhi et al., 2002) ⇒ Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, and Chris Watkins. (2002). “Text Classification Using String Kernels.” In: The Journal of Machine Learning Research, 2.

2001

• (Lodhi et al., 2001) ⇒ Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, and Chris Watkins. (2001). “Text Classification using String Kernels.” In: Advances in Neural Information Processing Systems, 13 (NIPS 2001).

2000

• (Cristianini & Shawe-Taylor, 2000) ⇒ Nello Cristianini, and John Shawe-Taylor. (2000). “An Introduction to Support Vector Machines: And Other Kernel-based Learning Methods.” Cambridge University Press.

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