Hidden Semi-Markov Models: Theory, Algorithms and Applications(Paperback)

Shun-Zheng Yu

  • 出版商: Elsevier Science
  • 出版日期: 2015-10-26
  • 售價: $1,550
  • 貴賓價: 9.5$1,473
  • 語言: 英文
  • 頁數: 208
  • 裝訂: Paperback
  • ISBN: 0128027673
  • ISBN-13: 9780128027677
  • 相關分類: Algorithms-data-structures
  • 海外代購書籍(需單獨結帳)

商品描述

Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms.

Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach to HSMMs, including various HSMMs (such as the explicit duration, variable transition, and residential time of HSMMs), inference and estimation algorithms, implementation methods and application instances. Learn new developments and state-of-the-art emerging topics as they relate to HSMMs, presented with examples drawn from medicine, engineering and computer science.

  • Discusses the latest developments and emerging topics in the field of HSMMs
  • Includes a description of applications in various areas including, Human Activity Recognition, Handwriting Recognition, Network Traffic Characterization and Anomaly Detection, and Functional MRI Brain Mapping.
  • Shows how to master the basic techniques needed for using HSMMs and how to apply them.

商品描述(中文翻譯)

隱藏半馬可夫模型(Hidden semi-Markov models,HSMMs)是人工智慧/機器學習領域中最重要的模型之一。自從1980年首次引入HSMM用於語音識別以來,已經提出了其他三種HSMM,具有不同的持續時間和觀察分佈定義。這些模型具有不同的表達方式、算法、計算複雜度和適用範圍,並且沒有明確的可互換形式。

《隱藏半馬可夫模型:理論、算法和應用》提供了一種統一且基礎的HSMM方法,包括各種HSMM(如明確持續時間、可變轉換和居住時間的HSMM)、推理和估計算法、實現方法和應用實例。通過醫學、工程和計算機科學等領域的實例,了解與HSMM相關的新發展和最新的前沿話題。

本書討論了HSMM領域的最新發展和新興話題,包括人類活動識別、手寫識別、網絡流量特徵化和異常檢測、功能性磁共振成像等各個領域的應用。並展示了如何掌握使用HSMM所需的基本技術以及如何應用它們。