Including the historical background and recent advances in the field as well as theoretical perspectives and real-world applications, this book outlines a systematic framework for implementing semi-supervised learning methods. It provides a toolbox on semi-supervised learning algorithms, presenting illustrations and examples of each algorithm. The book defines and distinguishes supervised learning, unsupervised learning, semi-supervised learning, and other relevant learning tasks. It discusses important semi-supervised learning models, including generative models for semi-supervised learning, semi-supervised support vector machines, and graph-based semi-supervised learning methods.
發表於2024-11-28
Introduction to Semi-Supervised Learning 2024 pdf epub mobi 電子書 下載
圖書標籤: 機器學習 semi_supervised Introduction 計算機 數據挖掘 to
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評分好書阿,簡單,透徹。
評分好書阿,簡單,透徹。
Introduction to Semi-Supervised Learning 2024 pdf epub mobi 電子書 下載