000 01586nam a22004335i 4500
001 978-3-540-35296-9
003 DE-He213
005 20130515021449.0
007 cr nn 008mamaa
008 100301s2006 gw | s |||| 0|eng d
020 _a9783540352969
_9978-3-540-35296-9
024 7 _a10.1007/11776420
_2doi
050 4 _aQA75.5-76.95
072 7 _aUYZG
_2bicssc
072 7 _aCOM037000
_2bisacsh
082 0 4 _a004.0151
_223
100 1 _aLugosi, Gábor.
245 1 0 _aLearning Theory
_h[electronic resource] :
_b19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006. Proceedings /
_cedited by Gábor Lugosi, Hans Ulrich Simon.
260 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2006.
300 _bdigital.
490 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4005
650 0 _aComputer science.
650 0 _aComputer software.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aComputation by Abstract Devices.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aMathematical Logic and Formal Languages.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aSimon, Hans Ulrich.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540352945
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4005
856 4 0 _uhttp://dx.doi.org/10.1007/11776420
912 _aZDB-2-SCS
912 _aZDB-2-LNC
999 _c77498
_d77498