Active learning of recursive functions by ultrametric algorithms

Rūsiņš Mārtiņš Freivalds; Thomas Zeugmann

Active learning of recursive functions by ultrametric algorithms

Rūsiņš Mārtiņš Freivalds
, Thomas Zeugmann

University of Latvia
Hokkaido University

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

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Place of Publication	Heidelberg
Publisher	Springer
Pages	246-257
Volume	8327 LNCS
ISBN (Print)	9783319042978, 9783319042985
Publication status	Published - 2014

Publication series

Name	Lecture Notes in Computer Science ; vol.8327

OECD Field of Science

1.2 Computer and Information Sciences

Cite this

@inproceedings{cdb34da3d57348b48b7ebee2d8e3ed4a,

title = "Active learning of recursive functions by ultrametric algorithms",

author = "Freivalds, \{Rūsiņ{\v s} Mārtiņ{\v s}\} and Thomas Zeugmann",

year = "2014",

language = "English",

isbn = "9783319042978",

volume = "8327 LNCS",

series = "Lecture Notes in Computer Science ; vol.8327",

publisher = "Springer",

pages = "246--257",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

address = "Germany",

}

Active learning of recursive functions by ultrametric algorithms. / Freivalds, Rūsiņš Mārtiņš; Zeugmann, Thomas.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8327 LNCS Heidelberg: Springer, 2014. p. 246-257 (Lecture Notes in Computer Science ; vol.8327).

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

TY - GEN

T1 - Active learning of recursive functions by ultrametric algorithms

AU - Freivalds, Rūsiņš Mārtiņš

AU - Zeugmann, Thomas

PY - 2014

Y1 - 2014

UR - http://link.springer.com/chapter/10.1007/978-3-319-04298-5_22

M3 - Conference paper

SN - 9783319042978

SN - 9783319042985

VL - 8327 LNCS

T3 - Lecture Notes in Computer Science ; vol.8327

SP - 246

EP - 257

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer

CY - Heidelberg

ER -

Active learning of recursive functions by ultrametric algorithms

Publication series

OECD Field of Science

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Cite this