Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/0587c6eb-b868-4101-b8d5-5b733d90e385
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资源简介：
Information Pursuit (IP) is an explainable prediction algorithm that greedily selects a sequence of interpretable queries about the data in order of information gain, updating its posterior at each step based on observed query-answer pairs.
提供机构：
TIB
创建时间：
2024-12-03
