Quick sensitivity analysis for incremental data modification and its application to leave-one-out CV in linear classification problems

11 Apr 2015Shota OkumuraYoshiki SuzukiIchiro Takeuchi

We introduce a novel sensitivity analysis framework for large scale classification problems that can be used when a small number of instances are incrementally added or removed. For quickly updating the classifier in such a situation, incremental learning algorithms have been intensively studied in the literature... (read more)

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