BriefGPT.xyz
Jul, 2015
分布式次模最大化的新框架
A New Framework for Distributed Submodular Maximization
HTML
PDF
Rafael da Ponte Barbosa, Alina Ene, Huy L. Nguyen, Justin Ward
TL;DR
通过将现有算法从顺序设定应用到分布式设定,仅利用恒定数量的MapReduce循环,在许多设置中实现了接近最优的近似比率。我们的技术还为满足矩阵约束的非单调最大化提供了快速的顺序算法。
Abstract
A wide variety of problems in
machine learning
, including exemplar clustering, document summarization, and sensor placement, can be cast as
constrained submodular maximization problems
. A lot of recent effort has
→