A feature-relevance heuristic for indexing and compressing large case bases

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

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Original language	English
Title of host publication	ECML-97, 9th European Conference on Machine Learning - Poster Papers
Editors	M. van Someren, G. Widmer
Place of Publication	Prague
Publisher	Laboratory of Intelligent Systems
Pages	29-38
Number of pages	9
Publication status	Published - 1997

Access to Document

@inproceedings{3dd9a66ed7694cd4bf64ecf036d4d1cb,

title = "A feature-relevance heuristic for indexing and compressing large case bases",

author = "W. Daelemans and \{van den Bosch\}, A. and J. Zavrel",

note = "Pagination: 9",

year = "1997",

language = "English",

pages = "29--38",

editor = "\{van Someren\}, M. and G. Widmer",

booktitle = "ECML-97, 9th European Conference on Machine Learning - Poster Papers",

publisher = "Laboratory of Intelligent Systems",

}

A feature-relevance heuristic for indexing and compressing large case bases. / Daelemans, W.; van den Bosch, A.; Zavrel, J.
ECML-97, 9th European Conference on Machine Learning - Poster Papers. ed. / M. van Someren; G. Widmer. Prague: Laboratory of Intelligent Systems, 1997. p. 29-38.

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

TY - GEN

T1 - A feature-relevance heuristic for indexing and compressing large case bases

AU - Daelemans, W.

AU - van den Bosch, A.

AU - Zavrel, J.

N1 - Pagination: 9

PY - 1997

Y1 - 1997

M3 - Conference contribution

SP - 29

EP - 38

BT - ECML-97, 9th European Conference on Machine Learning - Poster Papers

A2 - van Someren, M.

A2 - Widmer, G.

PB - Laboratory of Intelligent Systems

CY - Prague

ER -