Partially Supervised Learning
Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers
Published on 30. October 2013
Book
Paperback/Softback
IX, 117 pages
978-3-642-40704-8 (ISBN)
Description
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.
More details
Series
Edition
2013 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
34 s/w Abbildungen
IX, 117 p. 34 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
207 gr
ISBN-13
978-3-642-40704-8 (9783642407048)
DOI
10.1007/978-3-642-40705-5
Schweitzer Classification
Other editions
Additional editions
Zhi-Hua Zhou | Friedhelm Schwenker
Partially Supervised Learning
Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers
E-Book
10/2013
Springer
€48.14
Available for download
Content
Partially Supervised Anomaly Detection using Convex Hulls on a 2D Parameter Space.- Self-Practice Imitation Learning from Weak Policy.- Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition.- Adaptive Graph Constrained NMF for Semi-Supervised Learning.- Kernel Parameter Optimization in Stretched Kernel-based Fuzzy Clustering.- Conscientiousness Measurement from Weibo's Public Information.- Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces.- Neighborhood Co-regularized Multi-view Spectral Clustering of Microbiome Data.- A Robust Image Watermarking Scheme Based on BWT and ICA.- A New Weighted Sparse Representation Based on MSLBP and Its Application to Face Recognition.