基于输出层的严格2-局部函数的高效学习

Phillip Burness, Kevin McMullin
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引用次数: 10

摘要

本文描述了基于输出层的严格k-局部(OTSLk) string-tostring函数类,这类函数用于将长距离语音过程建模为输入-输出映射。在证明了当k和层给定时,可以学习任何OTSLk函数之后,我们提出了一种新的算法,该算法在k = 2时诱导层本身,并证明在多项式时间和数据中学习任何总OTSL2函数-这是第一个针对任何一类基于层的函数的这样的学习器。
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Efficient learning of Output Tier-based Strictly 2-Local functions
This paper characterizes the Output Tier-based Strictly k-Local (OTSLk) class of string-tostring functions, which are relevant for modeling long-distance phonological processes as input-output maps. After showing that any OTSLk function can be learned when k and the tier are given, we present a new algorithm that induces the tier itself when k = 2 and provably learns any total OTSL2 function in polynomial time and data—the first such learner for any class of tier-based functions.
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