Central Library

Normal view MARC view ISBD view

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

Contributor(s): Zhou, Zhi-Hua [editor.] | Schwenker, Friedhelm [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 8183Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Edition: 1st ed. 2013.Description: IX, 117 p. 34 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642407055.Subject(s): Data mining | Pattern recognition systems | Artificial intelligence | Data Mining and Knowledge Discovery | Automated Pattern Recognition | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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.
    average rating: 0.0 (0 votes)
No physical items for this record

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.

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.

There are no comments for this item.

Log in to your account to post a comment.