Information Services banner Edinburgh Research Archive The University of Edinburgh crest

Edinburgh Research Archive >
Informatics, School of >
Informatics Publications >

Please use this identifier to cite or link to this item:

This item has been viewed 5 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
Towards Semi-supervised Manifold Learning-UKR with Structural Hints.pdf1.71 MBAdobe PDFView/Open
Title: Towards Semi-supervised Manifold Learning: UKR with Structural Hints
Authors: Steffen, Jan
Klanke, Stefan
Vijayakumar, Sethu
Ritter, Helge
Issue Date: 2009
Journal Title: Proc. 7th International Workshop on Self Organizing Maps (WSOM’09)
Abstract: We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-supervised way. These new extensions are targeted at representing a dextrous manipulation task. We thus evaluate the effectiveness of the proposed mechanisms on appropriate toy data that mimic the characteristics of the aimed manipulation task and thereby provide means for a systematic evaluation.
Keywords: Informatics
Computer Science
ISBN: 978-3-642-02396-5
Appears in Collections:Informatics Publications

Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2013, and/or the original authors. Privacy and Cookies Policy