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Partially Supervised Learning

Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Zhi-Hua Zhou

    1. National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, People's Republic of China

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    You can also search for this editor in PubMed   Google Scholar

  2. Friedhelm Schwenker

    1. Abt. Neuroinformatik, Universität Ulm, Ulm, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Proceedings of the International Workshop on Partially Supervised Learning, PSL 2013
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8183)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PSL 2013.

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Table of contents (10 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Partially Supervised Anomaly Detection Using Convex Hulls on a 2D Parameter Space

    • Gabriel B. P. Costa, Moacir Ponti, Alejandro C. Frery
    Pages 1-8

  3. Self-Practice Imitation Learning from Weak Policy

    • Qing Da, Yang Yu, Zhi-Hua Zhou
    Pages 9-20

  4. Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition

    • Markus Kächele, Friedhelm Schwenker
    Pages 21-35

  5. Adaptive Graph Constrained NMF for Semi-Supervised Learning

    • Qian Li, Liping Jing, Jian Yu
    Pages 36-48

  6. Kernel Parameter Optimization in Stretched Kernel-Based Fuzzy Clustering

    • Chunhong Lu, Zhaomin Zhu, Xiaofeng Gu
    Pages 49-57

  7. Conscientiousness Measurement from Weibo’s Public Information

    • Dong Nie, Lin Li, Tingshao Zhu
    Pages 58-67

  8. Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces

    • Michel Tokic, Friedhelm Schwenker, Günther Palm
    Pages 68-79

  9. Neighborhood Co-regularized Multi-view Spectral Clustering of Microbiome Data

    • Evgeni Tsivtsivadze, Hanneke Borgdorff, Janneke van de Wijgert, Frank Schuren, Rita Verhelst, Tom Heskes
    Pages 80-90

  10. A Robust Image Watermarking Scheme Based on BWT and ICA

    • Tao Wang, Jin Tang, Bin Luo, Cheng Zhang
    Pages 91-103

  11. A New Weighted Sparse Representation Based on MSLBP and Its Application to Face Recognition

    • He-Feng Yin, Xiao-Jun Wu
    Pages 104-115

  12. Back Matter

    Pages 117-117
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  1. Partially Supervised Learning

Keywords

About this book

This book constitutes the thoroughly refereed revised selected papers from the Second IAPR International Workshop, PSL 2013, held in Nanjing, China, in May 2013. The 10 papers included in this volume were carefully reviewed and selected from 26 submissions. Partially supervised learning is a rapidly evolving area of machine learning. It generalizes many kinds of learning paradigms including supervised and unsupervised learning, semi-supervised learning for classification and regression, transductive learning, semi-supervised clustering, multi-instance learning, weak label learning, policy learning in partially observable environments, etc.

Editors and Affiliations

  • National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, People's Republic of China

    Zhi-Hua Zhou

  • Abt. Neuroinformatik, Universität Ulm, Ulm, Germany

    Friedhelm Schwenker

Bibliographic Information

  • Book Title: Partially Supervised Learning

  • Book Subtitle: Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers

  • Editors: Zhi-Hua Zhou, Friedhelm Schwenker

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-642-40705-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Softcover ISBN: 978-3-642-40704-8Published: 30 October 2013

  • eBook ISBN: 978-3-642-40705-5Published: 21 October 2013

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: IX, 117

  • Number of Illustrations: 34 b/w illustrations

  • Topics: Data Mining and Knowledge Discovery, Pattern Recognition, Artificial Intelligence

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