LEADER 02931nam 2200697 450 001 996571854303316 005 20230913213730.0 010 $a3-8394-4790-9 024 7 $a10.14361/9783839447901 035 $a(CKB)4100000010236945 035 $a(MiAaPQ)EBC6109270 035 $a(DE-B1597)521875 035 $a(OCoLC)1149469126 035 $a(DE-B1597)9783839447901 035 $a(Au-PeEL)EBL6109270 035 $a(transcript Verlag)9783839447901 035 $a(EXLCZ)994100000010236945 100 $a20230913d2020 uy 0 101 0 $ager 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aDas Politische der Dekonstruktion $eHeideggers Entpolitisierung der Politeia bei Levinas, Blanchot, Nancy und Derrida /$fRalf Rother 205 $aFirst edition. 210 1$aBielefeld :$ctranscript Verlag,$d[2020] 210 4$d©2020 215 $a1 online resource (272 p.) 225 1 $aEdition Moderne Postmoderne 311 $a3-8376-4790-0 327 $aFrontmatter 1 Inhalt 5 Einleitung 9 Martin Heidegger 37 Emmanuel Levinas 77 Maurice Blanchot 99 Jean-Luc Nancy 127 Jacques Derrida 167 Literaturhinweise 249 330 $aBis heute ha?lt die Politische Philosophie an dem staatsphilosophischen Diktum einer in viele Staaten zerfallenden Welt fest, die stets Formen der Ausgrenzung und der Trennung hervorbringt. Ralf Rother thematisiert hingegen die Dekonstruktion des Politischen als eine Repolitisierung des politischen Denkens, indem er sich einer Diskussion um Heideggers Terminus »Mitsein« widmet, die von Levinas, Blanchot, Nancy und Derrida initiiert wurde. Im Fokus dieser Debatte steht die Frage: Wie ist ein Zusammenleben derjenigen mo?glich, die unter Ru?ckgriff auf Hobbes'sche und Schmitt'sche Positionen - z.B. aufgrund unterschiedlicher Herkunft oder Feindschaft - als nicht zusammengeho?rig verstanden werden? 410 0$aEdition Moderne Postmoderne. 606 $aNationalism 606 $aNationalism$zEurope 606 $aPhilosophy, European 606 $aPolitical science$xPhilosophy 610 $aDeconstruction. 610 $aEmmanuel Levinas. 610 $aExclusion. 610 $aFrench History of Philosophy. 610 $aHistory of Philosophy. 610 $aJacques Derrida. 610 $aJean-luc Nancy. 610 $aMaurice Blanchot. 610 $aPhilosophy. 610 $aPolitical Philosophy. 610 $aPolitics. 615 0$aNationalism. 615 0$aNationalism 615 0$aPhilosophy, European. 615 0$aPolitical science$xPhilosophy. 676 $a320.54 700 $aRother$b Ralf$01461818 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996571854303316 996 $aDas Politische der Dekonstruktion$93670613 997 $aUNISA LEADER 03871nam 2200913z- 450 001 9910557610303321 005 20220321 035 $a(CKB)5400000000045299 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/79633 035 $a(oapen)doab79633 035 $a(EXLCZ)995400000000045299 100 $a20202203d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputational Optimizations for Machine Learning 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (276 p.) 311 08$a3-0365-3186-6 311 08$a3-0365-3187-4 330 $aThe present book contains the 10 articles finally accepted for publication in the Special Issue "Computational Optimizations for Machine Learning" of the MDPI journal Mathematics, which cover a wide range of topics connected to the theory and applications of machine learning, neural networks and artificial intelligence. These topics include, among others, various types of machine learning classes, such as supervised, unsupervised and reinforcement learning, deep neural networks, convolutional neural networks, GANs, decision trees, linear regression, SVM, K-means clustering, Q-learning, temporal difference, deep adversarial networks and more. It is hoped that the book will be interesting and useful to those developing mathematical algorithms and applications in the domain of artificial intelligence and machine learning as well as for those having the appropriate mathematical background and willing to become familiar with recent advances of machine learning computational optimization mathematics, which has nowadays permeated into almost all sectors of human life and activity. 606 $aMathematics & science$2bicssc 606 $aResearch & information: general$2bicssc 610 $aARIMA model 610 $aartificial intelligence 610 $aautoencoders 610 $abed roughness 610 $abio-inspired algorithms 610 $aCNN architecture 610 $acomputational intelligence 610 $aconvolutional neural network 610 $adeep compression 610 $adeep learning 610 $adeep neural networks 610 $aDNN 610 $aenergy dissipation 610 $aevolution of weights 610 $aevolutionary algorithms 610 $aevolutionary computation 610 $afeature selection 610 $afloating-point numbers 610 $aFLOW-3D 610 $ageneralization error 610 $agenetic algorithms 610 $ahardware acceleration 610 $aHeating, Ventilation and Air Conditioning (HVAC) 610 $ahydraulic jumps 610 $alow power 610 $amachine learning 610 $ameta-heuristic optimization 610 $ametaheuristics search 610 $amodel predictive control 610 $amulti-objective optimization 610 $anature inspired algorithms 610 $aneural networks 610 $anonlinear systems 610 $aonline model selection 610 $aonline optimization 610 $aprecipitation nowcasting 610 $aquantization 610 $aradar data 610 $arecurrent neural networks 610 $aReLU 610 $asensitivity analysis 610 $asmart building 610 $asoft computing 610 $aswarm intelligence 610 $atime series analysis 610 $atraining 615 7$aMathematics & science 615 7$aResearch & information: general 700 $aGabbay$b Freddy$4edt$01304465 702 $aGabbay$b Freddy$4oth 906 $aBOOK 912 $a9910557610303321 996 $aComputational Optimizations for Machine Learning$93027447 997 $aUNINA