PLUME: Polyhedral Learning Using Mixture of Experts
IIIT Hyderabad（海得拉巴国际信息技术学院）；IISc Bangalore（班加罗尔印度科学学院）
英文摘要：
In this paper, we propose a novel mixture of expert architecture for learning polyhedral classifiers. We learn the parameters of the classifierusing an expectation maximization algorithm. Wederive the generalization bounds of the proposedapproach. Through an extensive simulation study, we show that the proposed method performs comparably to other state-of-the-art approaches.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
