论文标题
dlite：折扣最少的熵信息理论
DLITE: The Discounted Least Information Theory of Entropy
论文作者
论文摘要
我们提出了一种基于熵的信息度量，即最低折扣的熵信息理论（DLITE），该理论不仅表现出预期作为信息度量的重要特征，而且还满足了度量标准的条件。经典信息衡量标准，例如香农熵，KL Divergence和Jessen-Shannon Divergence，在缺少其他特性的同时，已经表现出了其中一些特性。这项工作填补了信息理论及其应用的进步的重要空白，而相关属性是可取的。
We propose an entropy-based information measure, namely the Discounted Least Information Theory of Entropy (DLITE), which not only exhibits important characteristics expected as an information measure but also satisfies conditions of a metric. Classic information measures such as Shannon Entropy, KL Divergence, and Jessen-Shannon Divergence have manifested some of these properties while missing others. This work fills an important gap in the advancement of information theory and its application, where related properties are desirable.
