Are support vector regression and kernel ridge regression used for the same type of problems?

Does, in some sense, Kernel Ridge Regression refer to the same class of problems as Support Vector Regression? Should I use them almost equivalently?

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To see the exact difference you may want to see chapters $3.4.1$ and $12.3.6$ of Elements of Statistical learning II, the e-book can be found for free here