HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models
論文傳送門 作者 香港科技大學 Qianwen Wang Huamin Qu 牛津大學 William Alexander Jack Pegg Min Chen 摘要 在這篇文章中，我們提出了一個可視化分析工具，用於實現基於假設的機器學習模型評估。我們描述了一個新的最大似然檢驗框架，它將傳統的統計假設檢驗(通常用於實證研究)與關於多個假設結論的邏輯推理相結合。該框架定義了一個受控配置，用於測試關於
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相關文章
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