LEADER 02908nam 22006734a 450 001 9910959590103321 005 20200520144314.0 010 $a9780674264236 010 $a0674264231 010 $a9780674038196 010 $a0674038193 024 7 $a10.4159/9780674038196 035 $a(CKB)1000000000805618 035 $a(OCoLC)503050812 035 $a(CaPaEBR)ebrary10318517 035 $a(SSID)ssj0000189783 035 $a(PQKBManifestationID)11184459 035 $a(PQKBTitleCode)TC0000189783 035 $a(PQKBWorkID)10157268 035 $a(PQKB)10798960 035 $a(MiAaPQ)EBC3300520 035 $a(DE-B1597)457642 035 $a(OCoLC)979683498 035 $a(DE-B1597)9780674038196 035 $a(Au-PeEL)EBL3300520 035 $a(CaPaEBR)ebr10318517 035 $a(Perlego)1133619 035 $a(EXLCZ)991000000000805618 100 $a20080214d2008 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLaw and judicial duty /$fPhilip Hamburger 205 $a1st ed. 210 $aCambridge, Mass. $cHarvard University Press$d2008 215 $a1 online resource (705 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9780674031319 311 08$a0674031318 320 $aIncludes bibliographical references and index. 327 $aThe hierarchy of law -- The shift toward authority -- Constitutions -- Judicial duty -- Independent judgment -- Judicial decisions -- Authority to expound -- No appeal from parliament -- Colonial departures -- Law and judicial duty -- Reason and justice within the law -- The range of constitutional decisions and the character of judicial duty -- Holding legislative acts unconstitutional -- A lopsided debate -- Not holding legislative acts unconstitutional -- Independence -- Authority -- The inexplicitness of constitutions -- Federal clarifications. 330 $aPhilip Hamburger's Law and Judicial Duty traces the early history of what is today called "judicial review." The book sheds new light on a host of misunderstood problems, including intent, the status of foreign and international law, the cases and controversies requirement, and the authority of judicial precedent. The book is essential reading for anyone concerned about the proper role of the judiciary. 606 $aJudicial review$zUnited States$xHistory 606 $aJudicial process$zUnited States$xHistory 606 $aConstitutional law$zUnited States 615 0$aJudicial review$xHistory. 615 0$aJudicial process$xHistory. 615 0$aConstitutional law 676 $a347.73/12 700 $aHamburger$b Philip$f1957-$01195227 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910959590103321 996 $aLaw and judicial duty$94365933 997 $aUNINA LEADER 04493nam 22007575 450 001 9911046552303321 005 20251002130414.0 010 $a3-032-06106-7 024 7 $a10.1007/978-3-032-06106-5 035 $a(MiAaPQ)EBC32327625 035 $a(Au-PeEL)EBL32327625 035 $a(CKB)41537098400041 035 $a(DE-He213)978-3-032-06106-5 035 $a(EXLCZ)9941537098400041 100 $a20251002d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Knowledge Discovery in Databases. Research Track $eEuropean Conference, ECML PKDD 2025, Porto, Portugal, September 15?19, 2025, Proceedings, Part VI /$fedited by Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (981 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v16018 311 08$a3-032-06105-9 330 $aThis multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 15?19, 2025. The 300 full papers presented here, together with 15 demo papers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks: The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, ...), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social Networks The Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v16018 606 $aArtificial intelligence 606 $aComputer networks 606 $aComputers 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aSoftware engineering 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aComputing Milieux 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aSoftware Engineering 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aComputers. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aSoftware engineering. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aComputing Milieux. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aSoftware Engineering. 676 $a006.3 700 $aRibeiro$b Rita P$01431793 701 $aPfahringer$b Bernhard$01758420 701 $aJapkowicz$b Nathalie$01753142 701 $aLarrañaga$b Pedro$01849903 701 $aJorge$b Alípio M$01849904 701 $aSoares$b Carlos$0961096 701 $aAbreu$b Pedro H$01431795 701 $aGama$b João$01431794 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911046552303321 996 $aMachine Learning and Knowledge Discovery in Databases. 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