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Computer Science - Database Management & Information Retrieval | Partially Supervised Learning - Second IAPR International Workshop, PSL 2013, Nanjing, China,

Partially Supervised Learning

Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers

Zhou, Zhi-Hua, Schwenker, Friedhelm (Eds.)

2013, IX, 117 p. 34 illus.

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  • Proceedings of the International Workshop on Partially Supervised Learning, PSL 2013
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.

Content Level » Research

Keywords » anomaly detection - emotion recognition - fuzzy clustering - machine learning - pattern recognition

Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Image Processing

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