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001 990009255370403321
010   $a9783540786528
035   $a000925537
035   $aFED01000925537
035   $a(Aleph)000925537FED01
035   $a000925537
100   $a20100926d2008----km-y0itay50------ba
101 0 $aeng
102   $aDE
135   $adrnn-008mamaa
200 1 $aProbabilistic Inductive Logic Programming$bRisorsa elettronica$eTheory and Applications$fedited by Luc Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton
210   $aBerlin ; Heidelberg$cSpringer$d2008
225 1 $aLecture Notes in Computer Science$x0302-9743$v4911
230   $aDocumento elettronico
336   $aTesto
337   $aFormato html, pdf
702  1$aFrasconi,$bPaolo
702  1$aKersting,$bKristian
702  1$aMuggleton,$bStephen
702  1$aRaedt,$bLuc
801  0$aIT$bUNINA$gREICAT$2UNIMARC
856 4 $zFull text per gli utenti Federico II$uhttp://dx.doi.org/10.1007/978-3-540-78652-8
901   $aEB
912   $a990009255370403321
961   $aAlgorithm Analysis and Problem Complexity
961   $aArtificial intelligence
961   $aArtificial Intelligence (incl. Robotics)
961   $aBioinformatics
961   $aComputational Biology/Bioinformatics
961   $aComputer science
961   $aComputer Science
961   $aComputer software
961   $aData mining
961   $aData Mining and Knowledge Discovery
961   $aMathematical Logic and Formal Languages
961   $aProgramming Techniques
996   $aProbabilistic Inductive Logic Programming$9774421
997   $aUNINA