| 청구기호 |
Q325.75 .Z485 2009 |
| 형태사항 |
1 electronic text (xi, 116 p. : ill.) : digital file.
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| 언어 |
English |
| 일반주기 |
Part of: Synthesis digital library of engineering and computer science.
Title from PDF t.p. (viewed on July 8, 2009).
Series from website.
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| 서지주기 |
Includes bibliographical references (p. 95-112) and index.
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| 내용 |
Introduction to statistical machine learning -- The data -- Unsupervised learning -- Supervised learning -- Overview of semi-supervised learning -- Learning from both labeled and unlabeled data -- How is semi-supervised learning possible -- Inductive vs. transductive semi-supervised learning -- Caveats -- Self-training models -- Mixture models and EM -- Mixture models for supervised classification -- Mixture models for semi-supervised classification -- Optimization with the EM algorithm -- The assumptions of mixture models -- Other issues in generative models -- Cluster-then-label methods -- Co-training -- Two views of an instance -- Co-training -- The assumptions of co-training -- Multiview learning -- Graph-based semi-supervised learning -- Unlabeled data as stepping stones -- The graph -- Mincut -- Harmonic function -- Manifold regularization -- The assumption of graph-based methods -- Semi-supervised support vector machines -- Support vector machines -- Semi-supervised support vector machines -- Entropy regularization -- The assumption of S3VMS and entropy regularization -- Human semi-supervised learning -- From machine learning to cognitive science -- Study one: humans learn from unlabeled test data -- Study two: presence of human semi-supervised learning in a simple task -- Study three: absence of human semi-supervised learning in a complex task -- Discussions -- Theory and outlook -- A simple PAC bound for supervised learning -- A simple PAC bound for semi-supervised learning -- Future directions of semi-supervised learning -- Basic mathematical reference -- Semi-supervised learning software -- Symbols -- Biography.
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| 주제 |
Supervised learning (Machine learning)
Support vector machines.
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| ISBN |
9781598295481 (electronic bk.)
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| 기타 표준번호 |
10.2200/S00196ED1V01Y200906AIM006 |
