000 03068nam a22005775i 4500
001 978-3-319-24486-0
003 DE-He213
005 20200420221250.0
007 cr nn 008mamaa
008 151003s2015 gw | s |||| 0|eng d
020 _a9783319244860
_9978-3-319-24486-0
024 7 _a10.1007/978-3-319-24486-0
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aAlgorithmic Learning Theory
_h[electronic resource] :
_b26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings /
_cedited by Kamalika Chaudhuri, CLAUDIO GENTILE, Sandra Zilles.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXVII, 395 p. 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9355
505 0 _aInductive inference -- Learning from queries, teaching complexity -- Computational learning theory and algorithms -- Statistical learning theory and sample complexity -- Online learning -- Stochastic optimization -- Kolmogorov complexity, algorithmic information theory.
520 _aThis book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 44 submissions. In addition the book contains 2 full papers summarizing the invited talks and 2 abstracts of invited talks. The papers are organized in topical sections named: inductive inference; learning from queries, teaching complexity; computational learning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization; and Kolmogorov complexity, algorithmic information theory.
650 0 _aComputer science.
650 0 _aComputers.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aPattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aTheory of Computation.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aPattern Recognition.
700 1 _aChaudhuri, Kamalika.
_eeditor.
700 1 _aGENTILE, CLAUDIO.
_eeditor.
700 1 _aZilles, Sandra.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319244853
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9355
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-24486-0
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c52527
_d52527