LEADER 01421nlm0 22004091i 450 
001 990009242390403321
010   $a9783540352969
035   $a000924239
035   $aFED01000924239
035   $a(Aleph)000924239FED01
035   $a000924239
100   $a20100926d2006----km-y0itay50------ba
101 0 $aeng
102   $aDE
135   $adrnn-008mamaa
200 1 $aLearning Theory$bRisorsa elettronica$e19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006. Proceedings$fedited by Gábor Lugosi, Hans Ulrich Simon
210   $aBerlin ; Heidelberg$cSpringer$d2006
225 1 $aLecture Notes in Computer Science$x0302-9743$v4005
230   $aDocumento elettronico
336   $aTesto
337   $aFormato html, pdf
702  1$aLugosi,$bGábor
702  1$aSimon,$bHans-Ulrich
801  0$aIT$bUNINA$gREICAT$2UNIMARC
856 4 $zFull text per gli utenti Federico II$uhttp://dx.doi.org/10.1007/11776420
901   $aEB
912   $a990009242390403321
961   $aAlgorithm Analysis and Problem Complexity
961   $aArtificial intelligence
961   $aArtificial Intelligence (incl. Robotics)
961   $aComputation by Abstract Devices
961   $aComputer science
961   $aComputer Science
961   $aComputer software
961   $aMathematical Logic and Formal Languages
996   $aLearning Theory$9772233
997   $aUNINA