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Jan, 2013
概念漂移中的分布式在线分类
On Distributed Online Classification in the Midst of Concept Drifts
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Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
TL;DR
研究分布式在线学习算法在静态和非静态环境下的泛化能力，推导连通学习者网络中每个节点达到的超额风险界限并研究扩散策略相对于个体非合作处理的性能优势。通过广泛的模拟来说明结果。
Abstract
In this work, we analyze the
generalization ability
of
distributed online learning algorithms
under stationary and non-stationary environments. We derive bounds for the
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