Approaches and Quality of Algorithm Evaluation

Xinguo Yu, Jing Xia, Weina Cheng
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Abstract

It is a valuable research task to construct the knowledge body and develop the method of analyzing the quality of an algorithm evaluation process since the invention of algorithms is one of the most important research tasks in information technology. To this end, this paper explores approaches and quality of algorithm evaluation through reviewing the papers involved in new approach of algorithm evaluation. Concretely, it does the following three jobs. First, it identifies four approaches of algorithm evaluation and further explores their features. Second, it builds the brief taxonomy of algorithm evaluation from the literature. Third, it proposes a scheme of analyzing the quality of a performance evaluation process. This study aims to facilitate the algorithm inventors to use the proper and high quality way to evaluate algorithms.
算法评价的方法和质量
由于算法的发明是信息技术领域最重要的研究任务之一,因此构建知识体和开发算法评价过程质量分析方法是一项有价值的研究任务。为此,本文通过对算法评价新方法相关论文的回顾,探讨算法评价的方法和质量。具体来说,它做了以下三个工作。首先,确定了算法评估的四种方法,并进一步探讨了它们的特点。其次,根据文献建立了算法评价的简要分类。第三,提出了绩效评估过程质量分析方案。本研究旨在帮助算法发明者使用合适的、高质量的方法来评估算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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