Boosted Statistical Relational Learners: From Benchmarks to Data-Driven Medicine (SpringerBriefs in Computer Science)
暫譯: 增強統計關聯學習者:從基準到數據驅動的醫學 (SpringerBriefs in Computer Science)

Sriraam Natarajan

  • 出版商: Springer
  • 出版日期: 2015-03-25
  • 售價: $2,420
  • 貴賓價: 9.5$2,299
  • 語言: 英文
  • 頁數: 84
  • 裝訂: Paperback
  • ISBN: 3319136437
  • ISBN-13: 9783319136431
  • 相關分類: Computer-ScienceSQL
  • 海外代購書籍(需單獨結帳)

商品描述

This SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational Learning (SRL) methods. These methods combine the expressiveness of first-order logic and the ability of probability theory to handle uncertainty. It provides an overview of the methods and the key assumptions that allow for adaptation to different models and real world applications. The models are highly attractive due to their compactness and comprehensibility but learning their structure is computationally intensive. To combat this problem, the authors review the use of functional gradients for boosting the structure and the parameters of statistical relational models. The algorithms have been applied successfully in several SRL settings and have been adapted to several real problems from Information extraction in text to medical problems. Including both context and well-tested applications, Boosting Statistical Relational Learning from Benchmarks to Data-Driven Medicine is designed for researchers and professionals in machine learning and data mining. Computer engineers or students interested in statistics, data management, or health informatics will also find this brief a valuable resource.

商品描述(中文翻譯)

這本 SpringerBrief 針對分析多關係和噪聲數據的挑戰,提出了幾種統計關係學習(Statistical Relational Learning, SRL)方法。這些方法結合了一階邏輯的表達能力和概率論處理不確定性的能力。它提供了這些方法的概述以及允許適應不同模型和現實世界應用的關鍵假設。這些模型因其緊湊性和可理解性而極具吸引力,但學習其結構在計算上是非常密集的。為了解決這個問題,作者回顧了使用函數梯度來增強統計關係模型的結構和參數的應用。這些算法已成功應用於幾個 SRL 設定,並已適應於從文本中的信息提取到醫療問題的多個實際問題。包括上下文和經過充分測試的應用,從基準到數據驅動醫學的增強統計關係學習旨在為機器學習和數據挖掘的研究人員和專業人士提供資源。對於對統計、數據管理或健康資訊學感興趣的計算機工程師或學生來說,這本簡介也是一個有價值的資源。

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