Stability of Unstable Learning Algorithms

作者:Don Hush, Clint Scovel, Ingo Steinwart

摘要

We introduce graphical learning algorithms and use them to produce bounds on error deviance for unstable learning algorithms which possess a partial form of stability. As an application we obtain error deviance bounds for support vector machines (SVMs) with variable offset parameter.

论文关键词:Learning, Stability, Generalization

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论文官网地址:https://doi.org/10.1007/s10994-007-5004-z