ENGLISH

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

By Zhi-Hua Zhou , Friedhelm Schwenker (eds.) , Gabriel B. P. Costa , Moacir Ponti , Alejandro C. Frery (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2013
ISBN
978-3-642-40704-8, 978-3-642-40705-5
DOI
10.1007/978-3-642-40705-5
Language
english
Format
PDF
Filesize
3 MB (2911827 bytes)
Series
Lecture Notes in Computer Science 8183
Edition
1
Pages
117\125
Orientation
yes
Scanned
yes
Time added
2013-10-31 01:38:51
Data Mining and Knowledge Discovery; Pattern Recog

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.

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