Discriminative Embeddings of Latent Variable Models for Structured Data
論文傳送門 作者 佐治亞理工學院 Hanjun Dai Bo Dai Le Song 摘要 專門爲序列、樹和圖設計的核分類器和迴歸器，已經大大促進了計算生物學、藥物設計等跨學科領域。通常，內核是事先爲探索結構的統計數據或使用概率生成模型的數據類型設計的，然後基於通過凸優化的核來學習判別分類器。但是這樣優雅的兩階段方法也限制了核方法擴展到數百萬數據點，限制了利用判別信息來學習特徵表示。我們提出了st
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相關文章
- 1. Latent Embeddings for Collective Activity Recognition
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