Inductive Logic Programming: 29th International Conference, Ilp 2019, Plovdiv, Bulgaria, September 3-5, 2019, Proceedings
暫譯: 歸納邏輯程式設計：第29屆國際會議，ILP 2019，保加利亞普羅夫迪夫，2019年9月3-5日，會議論文集

Kazakov, Dimitar, Erten, Can

Inductive Logic Programming: 29th International Conference, Ilp 2019, Plovdiv, Bulgaria, September 3-5, 2019, Proceedings
  • 出版商: Springer
  • 出版日期: 2020-06-03
  • 售價: $2,420
  • 貴賓價: 9.5 折 $2,299
  • 語言: 英文
  • 頁數: 145
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030492095
  • ISBN-13: 9783030492090

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book constitutes the refereed conference proceedings of the 29th International Conference on Inductive Logic Programming, ILP 2019, held in Plovdiv, Bulgaria, in September 2019.

The 11 papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.

商品描述(中文翻譯)

本書為第29屆國際歸納邏輯程式設計會議（ILP 2019）的經過審核的會議論文集，該會議於2019年9月在保加利亞的普羅夫迪夫舉行。

所呈現的11篇論文經過仔細審核並從眾多投稿中選出。歸納邏輯程式設計（Inductive Logic Programming, ILP）是機器學習的一個子領域，最初依賴邏輯程式設計作為統一的表示語言，用於表達範例、背景知識和假設。由於其基於一階邏輯的強大表示形式，ILP為多關係學習和資料挖掘提供了優秀的手段，更一般地說，為從結構化資料中學習提供了良好的方法。

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