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: |
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| 245 | 1 | 0 | |a Partially supervised learning : |b second IAPR international workshop, PSL 2013, Nanjing, China, May 13-14, 2013, revised selected papers / |c Zhi-Hua Zhou, Friedhelm Schwenker (eds.). |
| 246 | 3 | 0 | |a PSL 2013. |
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| 490 | 1 | |a Lecture notes in computer science, |x 0302-9743 ; |v 8183. |a SL 7, Artificial Intelligence. | |
| 490 | 1 | |a LNCS sublibrary. SL 7, Artificial intelligence. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t Partially Supervised Anomaly Detection Using Convex Hulls on a 2D Parameter Space / |r Gabriel B.P. Costa, Moacir Ponti and Alejandro C. Frery -- |t Self-Practice Imitation Learning from Weak Policy / |r Qing Da, Yang Yu and Zhi-Hua Zhou -- |t Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition / |r Markus Kächele and Friedhelm Schwenker -- |t Adaptive Graph Constrained NMF for Semi-Supervised Learning / |r Qian Li, Liping Jing and Jian Yu -- |t Kernel Parameter Optimization in Stretched Kernel-Based Fuzzy Clustering / |r Chunhong Lu, Zhaomin Zhu and Xiaofeng Gu -- |t Conscientiousness Measurement from Weibo's Public Information / |r Dong Nie, Lin Li and Tingshao Zhu -- |t Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces / |r Michel Tokic, Friedhelm Schwenker and Günther Palm -- |t Neighborhood Co-regularized Multi-view Spectral Clustering of Microbiome Data / |r Evgeni Tsivtsivadze and Hanneke Borgdorff -- |t A Robust Image Watermarking Scheme Based on BWT and ICA / |r Tao Wang, Jin Tang, Bin Luo and Cheng Zhang -- |t A New Weighted Sparse Representation Based on MSLBP and Its Application to Face Recognition / |r He-Feng Yin and Xiao-Jun Wu. |
| 520 | |a 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. | ||
| 650 | 0 | |a Machine learning |v Congresses. | |
| 650 | 0 | |a Computer science |v Congresses. | |
| 650 | 0 | |a Computer software |v Congresses. | |
| 650 | 0 | |a Artificial intelligence |v Congresses. | |
| 650 | 0 | |a Computer vision |v Congresses. | |
| 650 | 0 | |a Optical pattern recognition |v Congresses. | |
| 650 | 0 | |a Bioinformatics |v Congresses. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer programs. | |
| 655 | 7 | |a Software. |2 lcgft. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Computational biology. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 2 | |a Artificial Intelligence. | |
| 650 | 2 | |a Software. | |
| 650 | 2 | |a Pattern Recognition, Automated. | |
| 650 | 2 | |a Computational Biology. | |
| 650 | 6 | |a Apprentissage automatique |v Congrès. | |
| 650 | 6 | |a Informatique |v Congrès. | |
| 650 | 6 | |a Logiciels |v Congrès. | |
| 650 | 6 | |a Intelligence artificielle |v Congrès. | |
| 650 | 6 | |a Vision par ordinateur |v Congrès. | |
| 650 | 6 | |a Reconnaissance optique des formes (Informatique) |v Congrès. | |
| 650 | 6 | |a Bio-informatique |v Congrès. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Logiciels. | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 7 | |a artificial intelligence. |2 aat. | |
| 650 | 7 | |a software. |2 aat. | |
| 650 | 7 | |a Pattern recognition systems. |2 fast. | |
| 650 | 7 | |a Computer programs. |2 fast. | |
| 650 | 7 | |a Computational biology. |2 fast. | |
| 650 | 7 | |a Artificial intelligence. |2 fast. | |
| 650 | 7 | |a Bioinformatics. |2 fast. | |
| 650 | 7 | |a Computer science. |2 fast. | |
| 650 | 7 | |a Computer software. |2 fast. | |
| 650 | 7 | |a Computer vision. |2 fast. | |
| 650 | 7 | |a Machine learning. |2 fast. | |
| 650 | 7 | |a Optical pattern recognition. |2 fast. | |
| 650 | 7 | |a Engineering & Applied Sciences. |2 hilcc. | |
| 650 | 7 | |a Computer Science. |2 hilcc. | |
| 653 | 0 | 0 | |a computerwetenschappen. |
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| 653 | 0 | 0 | |a patroonherkenning. |
| 653 | 0 | 0 | |a pattern recognition. |
| 653 | 0 | 0 | |a kunstmatige intelligentie. |
| 653 | 0 | 0 | |a artificial intelligence. |
| 653 | 0 | 0 | |a datamining. |
| 653 | 0 | 0 | |a data mining. |
| 653 | 1 | 0 | |a Information and Communication Technology (General) |
| 653 | 1 | 0 | |a Informatie- en communicatietechnologie (algemeen) |
| 655 | 2 | |a Congress. | |
| 655 | 7 | |a proceedings (reports) |2 aat. | |
| 655 | 7 | |a Conference papers and proceedings. |2 fast. | |
| 655 | 7 | |a Conference papers and proceedings. |2 lcgft. | |
| 655 | 7 | |a Actes de congrès. |2 rvmgf. | |
| 700 | 1 | |a Zhou, Zhi-Hua |c (Computer scientist), |e editor. | |
| 700 | 1 | |a Schwenker, Friedhelm, |e editor. | |
| 710 | 2 | |a SpringerLink (Online service) | |
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| 830 | 0 | |a Lecture notes in computer science ; |v 8183. |x 1611-3349. | |
| 830 | 0 | |a Lecture notes in computer science. |p Lecture notes in artificial intelligence. | |
| 830 | 0 | |a LNCS sublibrary. |n SL 7, |p Artificial intelligence. | |
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