Learning Bayesian Networks
暫譯: 學習貝葉斯網絡

Neapolitan, Richard E.

Learning Bayesian Networks
  • 出版商: Pearson FT Press
  • 出版日期: 2019-05-24
  • 售價: $6,450
  • 貴賓價: 9.5 折 $6,128
  • 語言: 英文
  • 頁數: 696
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0130125342
  • ISBN-13: 9780130125347
  • 相關分類: 機率統計學 Probability-and-statistics

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning r Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. For expert systems developers and decision theorists.

商品描述(中文翻譯)

在這本第一版的書中，討論了在貝葉斯網路和推理圖中進行推理的方法。數百個範例和問題使讀者能夠掌握這些資訊。討論的主題包括 Pearl 的訊息傳遞演算法、參數學習：兩種替代方案、參數學習 r 種替代方案、貝葉斯結構學習以及基於約束的學習。適合專家系統開發者和決策理論家。

作者簡介

Richard E. Neapolitan has been a researcher in Bayesian networks and the area of uncertainty in artificial intelligence since the mid-1980s. In 1990, he wrote the seminal text, Probabilistic Reasoning in Expert Systems, which helped to unify the field of Bayesian networks. Dr. Neapolitan has published numerous articles spanning the fields of computer science, mathematics, philosophy of science, and psychology. Dr. Neapolitan is currently professor and chair of Computer Science at Northeastern Illinois University.

作者簡介(中文翻譯)

理查德·E·尼阿波利坦自1980年代中期以來一直是貝葉斯網絡和人工智慧不確定性領域的研究者。1990年，他撰寫了開創性的著作《專家系統中的概率推理》，該書有助於統一貝葉斯網絡領域。尼阿波利坦博士發表了許多涵蓋計算機科學、數學、科學哲學和心理學等領域的文章。尼阿波利坦博士目前是伊利諾伊州東北大學計算機科學系的教授及系主任。

類似商品