Multiview Machine Learning
暫譯: 多視角機器學習
Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
- 出版商: Springer
- 出版日期: 2019-01-17
- 售價: $6,330
- 貴賓價: 9.5 折 $6,014
- 語言: 英文
- 頁數: 149
- 裝訂: Hardcover
- ISBN: 981133028X
- ISBN-13: 9789811330285
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains.
商品描述(中文翻譯)
本書提供了對多視角學習(multiview learning)這一機器學習中發展最快的分支之一的獨特深入討論。多視角學習已被證明具有良好的理論基礎和卓越的實踐成功。本書描述了多視角學習在實際數據分析中的模型和算法。通過整合多個視角來提高泛化性能,多視角學習也被稱為數據融合(data fusion)或來自多個特徵集的數據整合(data integration)。這本自成一體的書籍適用於多模態學習研究,並且對於該領域的基本概念只需最少的先前知識。它也是機器學習領域研究人員以及各種應用領域工作者的寶貴參考資源。