LEADER 05803nam 22007575 450 001 996465842203316 005 20200706102131.0 010 $a3-642-38812-4 024 7 $a10.1007/978-3-642-38812-5 035 $a(CKB)2560000000105665 035 $a(DE-He213)978-3-642-38812-5 035 $a(SSID)ssj0000936546 035 $a(PQKBManifestationID)11483583 035 $a(PQKBTitleCode)TC0000936546 035 $a(PQKBWorkID)10974618 035 $a(PQKB)10430047 035 $a(MiAaPQ)EBC3096896 035 $a(PPN)170492710 035 $a(EXLCZ)992560000000105665 100 $a20130605d2013 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInductive Logic Programming$b[electronic resource] $e22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 16-18,2012, Revised Selected papers /$fedited by Fabrizio Riguzzi, Filip Zelezny 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (X, 273 p. 81 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v7842 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-38811-6 327 $aA Relational Approach to Tool-Use Learning in Robots -- A Refinement Operator for Inducing Threaded-Variable Clauses -- Propositionalisation of Continuous Attributes beyond Simple Aggregation -- Topic Models with Relational Features for Drug Design -- Pairwise Markov Logic -- Evaluating Inference Algorithms for the Prolog Factor Language -- Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns -- Fast Parameter Learning for Markov Logic Networks Using Bayes Nets -- Bounded Least General Generalization -- Itemset-Based Variable Construction in Multi-relational Supervised Learning -- A Declarative Modeling Language for Concept Learning in Description Logics -- Identifying Driver?s Cognitive Load Using Inductive Logic Programming -- Opening Doors: An Initial SRL Approach -- Probing the Space of Optimal Markov Logic Networks for Sequence Labeling -- What Kinds of Relational Features Are Useful for Statistical Learning? -- Learning Dishonesty -- Heuristic Inverse Subsumption in Full-Clausal Theories -- Learning Unordered Tree Contraction Patterns in Polynomial TimeA Relational Approach to Tool-Use Learning in Robots -- A Refinement Operator for Inducing Threaded-Variable Clauses -- Propositionalisation of Continuous Attributes beyond Simple Aggregation -- Topic Models with Relational Features for Drug Design -- Pairwise Markov Logic -- Evaluating Inference Algorithms for the Prolog Factor Language -- Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns -- Fast Parameter Learning for Markov Logic Networks Using Bayes Nets -- Bounded Least General Generalization -- Itemset-Based Variable Construction in Multi-relational Supervised Learning -- A Declarative Modeling Language for Concept Learning in Description Logics -- Identifying Driver?s Cognitive Load Using Inductive Logic Programming -- Opening Doors: An Initial SRL Approach -- Probing the Space of Optimal Markov Logic Networks for Sequence Labeling -- What Kinds of Relational Features Are Useful for Statistical Learning?.-Learning Dishonesty.-Heuristic Inverse Subsumption in Full-Clausal Theories.-Learning Unordered Tree Contraction Patterns in Polynomial Time. 330 $aThis book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012. The 18 revised full papers were carefully reviewed and selected from 41 submissions. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics and biology, grammatical inference, spatial learning and graph-based learning. 410 0$aLecture Notes in Artificial Intelligence ;$v7842 606 $aMathematical logic 606 $aArtificial intelligence 606 $aComputer programming 606 $aComputer logic 606 $aComputers 606 $aComputer science 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aLogics and Meanings of Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/I1603X 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aComputer Science, general$3https://scigraph.springernature.com/ontologies/product-market-codes/I00001 615 0$aMathematical logic. 615 0$aArtificial intelligence. 615 0$aComputer programming. 615 0$aComputer logic. 615 0$aComputers. 615 0$aComputer science. 615 14$aMathematical Logic and Formal Languages. 615 24$aArtificial Intelligence. 615 24$aProgramming Techniques. 615 24$aLogics and Meanings of Programs. 615 24$aComputation by Abstract Devices. 615 24$aComputer Science, general. 676 $a005.131 702 $aRiguzzi$b Fabrizio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZelezny$b Filip$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465842203316 996 $aInductive Logic Programming$9772244 997 $aUNISA LEADER 04666nam 22007815 450 001 9910298511903321 005 20251116135950.0 010 $a3-319-11833-1 024 7 $a10.1007/978-3-319-11833-8 035 $a(CKB)3710000000306005 035 $a(EBL)1967982 035 $a(SSID)ssj0001385933 035 $a(PQKBManifestationID)11994435 035 $a(PQKBTitleCode)TC0001385933 035 $a(PQKBWorkID)11349514 035 $a(PQKB)11498720 035 $a(DE-He213)978-3-319-11833-8 035 $a(MiAaPQ)EBC1967982 035 $a(PPN)183096355 035 $a(iGPub)SPNA0033015 035 $a(EXLCZ)993710000000306005 100 $a20141127d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aOptimization of Stochastic Discrete Systems and Control on Complex Networks $eComputational Networks /$fby Dmitrii Lozovanu, Stefan Pickl 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (420 p.) 225 1 $aAdvances in Computational Management Science,$x1388-4301 ;$v12 300 $aDescription based upon print version of record. 311 08$a3-319-11832-3 320 $aIncludes bibliographical references and index. 327 $aDiscrete stochastic processes, numerical methods for Markov chains and polynomial time algorithms -- Stochastic optimal control problems and Markov decision processes with infinite time horizon -- A game-theoretical approach to Markov decision processes, stochastic positional games and multicriteria control models -- Dynamic programming algorithms for finite horizon control problems and Markov decision processes. 330 $aThis book presents the latest findings on stochastic dynamic programming models and on solving optimal control problems in networks. It includes the authors? new findings on determining the optimal solution of discrete optimal control problems in networks and on solving game variants of Markov decision problems in the context of computational networks. First, the book studies the finite state space of Markov processes and reviews the existing methods and algorithms for determining the main characteristics in Markov chains, before proposing new approaches based on dynamic programming and combinatorial methods. Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems. In closing, the book?s final chapter is devoted to finite horizon stochastic control problems and Markov decision processes. The algorithms developed represent a valuable contribution to the important field of computational network theory. 410 0$aAdvances in Computational Management Science,$x1388-4301 ;$v12 606 $aOperations research 606 $aDecision making 606 $aMathematical optimization 606 $aManagement science 606 $aAlgorithms 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024 606 $aDiscrete Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26040 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aOperations research. 615 0$aDecision making. 615 0$aMathematical optimization. 615 0$aManagement science. 615 0$aAlgorithms. 615 14$aOperations Research/Decision Theory. 615 24$aOptimization. 615 24$aOperations Research, Management Science. 615 24$aDiscrete Optimization. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a519.233 700 $aLozovanu$b Dmitrii$4aut$4http://id.loc.gov/vocabulary/relators/aut$0731266 702 $aPickl$b Stefan$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298511903321 996 $aOptimization of Stochastic Discrete Systems and Control on Complex Networks$92519960 997 $aUNINA LEADER 04545nam 22006855 450 001 9910261115403321 005 20260415140551.0 010 $a3-486-70339-0 024 7 $a10.1524/9783486703399 035 $a(CKB)3230000000000844 035 $a(EBL)1349058 035 $a(OCoLC)879550735 035 $a(SSID)ssj0001286937 035 $a(PQKBManifestationID)11865423 035 $a(PQKBTitleCode)TC0001286937 035 $a(PQKBWorkID)11278909 035 $a(PQKB)10949646 035 $a(MiAaPQ)EBC1349058 035 $a(DE-B1597)221631 035 $a(OCoLC)979853136 035 $a(DE-B1597)9783486703399 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/49481 035 $a(oapen)doab49481 035 $a(ODN)ODN0002485641 035 $a(oapen)49481 035 $a(EXLCZ)993230000000000844 100 $a20190615d2010 fg 101 0 $ager 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aDer Hitler-Mythos $eVolksmeinung und Propaganda im Dritten Reich. Mit einer Einführung von Martin Broszat /$fIan Kershaw 205 $a1st ed. 210 $cDe Gruyter$d1980 210 1$aBerlin ;$aBoston :$cOldenbourg Wissenschaftsverlag,$d[2010] 210 4$d©1986 215 $a1 online resource (213 p.) 225 0 $aSchriftenreihe der Vierteljahrshefte für Zeitgeschichte ;$v41 300 $aIncludes index. 311 08$a3-486-64541-2 327 $tFront Matter --$t"Der Führer des kommenden Deutschland": Das Hitler-Bild in der Weimarer Zeit --$t"Sinnbild der Nation": Die propagandistische Entfaltung des Führer-Mythos 1933-1936 --$tFührer und Unterführer: Der Führer-Mythos als Kompensation für die Kritik an der Partei --$tIm Schatten des Kirchenkampfes: Der Führer bremst die Radikalen --$tFrieden oder Krieg: Die Phase der nationalen Hitler-Euphorie --$tDer Verfall des Hitler-Mythos während des Krieges --$tWandel der Kriegslage 1942/43: Der Führer entrückt der Bevölkerung - Die Auflösung des Mythos setzt ein --$tEndphase des Krieges und Zusammenbruch: Die Aufzehrung des Führer-Mythos --$tBack Matter 330 $aBei der historischen Deutung der nationalsozialistischen Epoche bildet die Zentralfigur Hitlers noch immer den Gegenstand kontroverser Erklärungen. Die Flut neuer Hitlerbiographien vermochte wenig beizutragen zur Klärung der Frage, wie es kommen konnte, dass ein Mann solchen persönlichen und ideologischen Zuschnitts von breiten Schichten des deutschen Volkes mit fast religiöser Inbrunst als Führer verehrt wurde. Die im engen Kontakt mit dem Institut für Zeitgeschichte entstandene Schrift des britischen Historikers Ian Kershaw ist wohl der erste systematische Versuch, nicht die Person Hitlers, sondern den sie umgebenden überdimensionalen Nimbus, von seiner Entstehung in der Weimarer Zeit bis zu seiner allmählichen Aufzehrung am Ende des Zweiten Weltkrieges, zu dokumentieren. Der Autor konnte sich dabei auf eine breite Überlieferung von Berichten über die Volksmeinung in der NS-Zeit stützen. Er verdeutlicht überzeugend, dass der hypertrophe Hitler-Mythos des Dritten Reiches nicht nur von einer perfektionierten Propaganda täglich neu erzeugt wurde, sondern in hohem Maße auch von naiven Volkserwartungen getragen und perfektioniert worden ist. Am Beispiel einzelner Ereigniskomplexe, z.B. die Röhm-Affäre 1934, wird exemplarisch veranschaulicht, wie weit sich die populäre Vorstellung von Hitler von dem wirklichen Denken und Handeln dieses Mannes entfernen konnte. Erst der zunehmend verselbständigte und introvertierte irrationale Führerglaube, hervorgegangen aus schweren nationalen und sozialen Krisen der deutschen Gesellschaft, vermittelte als Resonanzboden und soziale Integrationskraft des Dritten Reiches die von der Person Hitlers her allein unmöglich erklärbare enorme politische Wirkung des "Führers". 410 0$aSchriftenreihe der Vierteljahrshefte fu?r Zeitgeschichte ;$vNummer 41. 606 $aPublic opinion$zGermany 606 $aPropaganda, German 606 $aPolitical psychology 607 $aGermany$xPolitics and government$y1933-1945$xPublic opinion 615 0$aPublic opinion 615 0$aPropaganda, German. 615 0$aPolitical psychology. 676 $a943.086 686 $aHIS000000$aHIS037070$2bisacsh 700 $aKershaw$b Ian$0142945 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9910261115403321 996 $aDer Hitler-Mythos$92281670 997 $aUNINA