Convergence analysis of online algorithms
نویسنده
چکیده
In this paper, we are interested in the analysis of regularized online algorithms associated with reproducing kernel Hilbert spaces. General conditions on the loss function and step sizes are given to ensure convergence. Explicit learning rates are also given for particular step sizes.
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ورودعنوان ژورنال:
- Adv. Comput. Math.
دوره 27 شماره
صفحات -
تاریخ انتشار 2007