Valid interpretation of feature relevance for linear data mappings

Benoit Frenay; Daniela Hofmann; Alexander Schulz; Michael Biehl; Barbara Hammer

doi:10.1109/CIDM.2014.7008661

Valid interpretation of feature relevance for linear data mappings

Benoit Frenay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer

Intelligent Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

Original language	English
Title of host publication	Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on
Publisher	IEEE (The Institute of Electrical and Electronics Engineers)
Pages	149-156
Number of pages	8
ISBN (Print)	978-1-4799-4518-4
DOIs	https://doi.org/10.1109/CIDM.2014.7008661
Publication status	Published - 1-Dec-2014

Keywords

Data models
Upper bound

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10.1109/CIDM.2014.7008661

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Cite this

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title = "Valid interpretation of feature relevance for linear data mappings",

keywords = "Data models, Upper bound",

author = "Benoit Frenay and Daniela Hofmann and Alexander Schulz and Michael Biehl and Barbara Hammer",

year = "2014",

month = dec,

day = "1",

doi = "10.1109/CIDM.2014.7008661",

language = "English",

isbn = "978-1-4799-4518-4",

pages = "149--156",

booktitle = "Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on",

publisher = "IEEE (The Institute of Electrical and Electronics Engineers)",

}

Valid interpretation of feature relevance for linear data mappings. / Frenay, Benoit; Hofmann, Daniela; Schulz, Alexander et al.
Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on. IEEE (The Institute of Electrical and Electronics Engineers), 2014. p. 149-156.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Valid interpretation of feature relevance for linear data mappings

AU - Frenay, Benoit

AU - Hofmann, Daniela

AU - Schulz, Alexander

AU - Biehl, Michael

AU - Hammer, Barbara

PY - 2014/12/1

Y1 - 2014/12/1

KW - Data models

KW - Upper bound

U2 - 10.1109/CIDM.2014.7008661

DO - 10.1109/CIDM.2014.7008661

M3 - Conference contribution

SN - 978-1-4799-4518-4

SP - 149

EP - 156

BT - Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on

PB - IEEE (The Institute of Electrical and Electronics Engineers)

ER -