ExCAR: 事件圖知識增強的可解釋因果推理 Abstract Prior work infers the causation between events mainly based on the knowledge induced from the annotated causal ...
從歷史到未來的原因:時間知識圖的兩階段推理 Abstract Temporal Knowledge Graphs TKGs have been developed and used in many different areas. Reasoning on TKGs that predicts potential facts events in the future brings great ch ...
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ExCAR: 事件圖知識增強的可解釋因果推理 Abstract Prior work infers the causation between events mainly based on the knowledge induced from the annotated causal ...
論文標題(A Survey on Knowledge Graphs:Representation, Acquisition and Applications) 下載鏈接:https://arxiv.org/abs/2002.00388 知識圖譜(Knowledge Graph) 知識 ...
with a two-stage deep network[C]//ICASSP 2021-2021 ...
目前主流的目標檢測算法主要是基於深度學習模型,其可以分成兩大類:two-stage檢測算法;one-stage檢測算法。本文主要介紹第一類檢測算法,第二類在下一篇博文中介紹。 目標檢測模型的主要性能指標是檢測准確度和速度,對於准確度,目標檢測要考慮物體的定位准確性,而不單單是分類准確度 ...
基於Attention的知識圖譜關系預測 論文地址 Abstract 關於知識庫完成的研究(也稱為關系預測)的任務越來越受關注。多項最新研究表明,基於卷積神經網絡(CNN)的模型會生成更豐富,更具表達力的特征嵌入,因此在關系預測上也能很好地發揮作用。但是這些知識圖譜的嵌入獨立地處理三元組 ...
這篇文章相比於Segmentation-based deep- ˇ learning approach for surface-defect detection.這篇文章,首先他們都是一個作者寫的,其 ...
Multi-modal Knowledge Graphs for Recommender Systems ABSTRACT 在各種在線應用中,推薦系統在解決信息爆炸問題和增強用戶體驗方面顯示出了巨大的潛力 ...
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