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  Alignment-based Transfer Learning for Robot Models

Bocsi, B., Csato, L., & Peters, J. (2013). Alignment-based Transfer Learning for Robot Models. In 2013 International Joint Conference on Neural Networks (IJCNN 2013 – Dallas) (pp. 74-80). Piscataway, NJ: IEEE. doi:10.1109/IJCNN.2013.6706721.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-3769-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-A0BD-C
Genre: Conference Paper

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 Creators:
Bocsi, B.1, Author
Csato, L.1, Author
Peters, J.1, 2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2014-01-092013
 Publication Status: Issued
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/IJCNN.2013.6706721
BibTex Citekey: BocsiCP2013
 Degree: -

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Title: International Joint Conference on Neural Networks (IJCNN 2013)
Place of Event: Dallas, TX
Start-/End Date: 2013-08-04 - 2013-08-09

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Title: 2013 International Joint Conference on Neural Networks (IJCNN 2013 – Dallas)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 74 - 80 Identifier: ISSN: 2161-4393
ISSN: 2161-4407
ISBN: 978-1-4673-6129-3
ISBN: 978-1-4673-6128-6
ISBN: 978-1-4673-6127-9
DOI: 10.1109/IJCNN31079.2013