专家分布式学习模型的一致性

Joel B. Predd, S. Kulkarni, H. Poor
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引用次数: 4

摘要

基于传感器网络和传统的统计模式识别方法,提出了一种分布式学习模型。该模型与stone类型分类器中考虑的学习模型一致,但在采样过程的依赖结构上有所不同;讨论了普遍一致性的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consistency in a model for distributed learning with specialists
Motivated by sensor networks and traditional methods of statistical pattern recognition, a model for distributed learning is formulated. The model is in line with learning models considered in the context of Stone-type classifiers, but differs in the dependency structure of the sampling process; questions of universal consistency are addressed.
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