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Structural Risk Minimization Structural Risk Minimization (.pdf) Structural risk minimization (SRM) (Vapnik and Chervonekis, 1974) is an inductive principle for model selection used for learning from finite training data sets. It describes a general model of capacity control and provides a trade-off between hypothesis space complexity (the VC dimension of approximating functions) and the …
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Sellaholics.com – Find Top 10 Products in Every Category VC Dimension (.pdf) VC Dimension Wikipedia: VC dimension Shatter – Wikipedia VC dimension (for Vapnik Chervonenkis dimension) (Vapnik and Chervonenkis (1968, 1971), Vapnik (1979)) measures the capacity of a hypothesis space. Capacity is a measure of complexity and measures the expressive power, richness or flexibility of a set of …
SVM Tutorials Best Tutorials Introductory: HEARST, Marti A., et al., 1998. Support vector machines. IEEE Intelligent Systems, 13(4), 18–28. Intermediate: BURGES, Christopher J. C., 1998. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 121–167. Advanced: CRISTIANINI, Nello, and John SHAWE-TAYLOR, 2000. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge, UK: Cambridge …
