Partially supervised learning second IAPR international workshop, PSL 2013, Nanjing, China, May 13-14, 2013, revised selected papers /
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...
| Corporate Authors: | PSL (Workshop) Nanjing Shi, China) |
|---|---|
| Other Authors: | PSL (Workshop), Zhou, Zhi-Hua (Computer scientist),, Schwenker, Friedhelm,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg :
Springer,
[2013]
|
| Physical Description: |
1 online resource (viii, 115 pages) : illustrations (some color). |
| Series: |
Lecture notes in computer science ;
8183. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. Artificial intelligence. |
| Subjects: |
| Summary: |
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. |
|---|---|
| Item Description: |
Includes bibliographical references and index. Partially Supervised Anomaly Detection Using Convex Hulls on a 2D Parameter Space / Gabriel B.P. Costa, Moacir Ponti and Alejandro C. Frery -- Self-Practice Imitation Learning from Weak Policy / Qing Da, Yang Yu and Zhi-Hua Zhou -- Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition / Markus Kächele and Friedhelm Schwenker -- Adaptive Graph Constrained NMF for Semi-Supervised Learning / Qian Li, Liping Jing and Jian Yu -- Kernel Parameter Optimization in Stretched Kernel-Based Fuzzy Clustering / Chunhong Lu, Zhaomin Zhu and Xiaofeng Gu -- Conscientiousness Measurement from Weibo's Public Information / Dong Nie, Lin Li and Tingshao Zhu -- Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces / Michel Tokic, Friedhelm Schwenker and Günther Palm -- Neighborhood Co-regularized Multi-view Spectral Clustering of Microbiome Data / Evgeni Tsivtsivadze and Hanneke Borgdorff -- A Robust Image Watermarking Scheme Based on BWT and ICA / Tao Wang, Jin Tang, Bin Luo and Cheng Zhang -- A New Weighted Sparse Representation Based on MSLBP and Its Application to Face Recognition / He-Feng Yin and Xiao-Jun Wu. 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. |
| Physical Description: |
1 online resource (viii, 115 pages) : illustrations (some color). |
| Bibliography: |
Includes bibliographical references and index. |
| ISBN: |
9783642407055 3642407056 |
| ISSN: |
0302-9743 ; |