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Partially Supervised Learning : Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers / edited by Zhi-Hua Zhou, Friedhelm Schwenker.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Zhou, Zhi-Hua., Editor.
Schwenker, Friedhelm, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 8183
Lecture Notes in Artificial Intelligence, 2945-9141 ; 8183
Language:
English
Subjects (All):
Data mining.
Pattern recognition systems.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Artificial Intelligence.
Local Subjects:
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Artificial Intelligence.
Physical Description:
1 online resource (IX, 117 pages) : 34 illustrations
Edition:
1st ed. 2013.
Contained In:
Springer Nature eBook
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
System Details:
text file PDF
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, et cetera.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-3-642-40705-5
9783642407055
Access Restriction:
Restricted for use by site license.

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