LEADER 04732nam 22008895 450 001 9910484763103321 005 20230329134710.0 010 $a3-319-11179-5 024 7 $a10.1007/978-3-319-11179-7 035 $a(CKB)3710000000227399 035 $a(SSID)ssj0001338633 035 $a(PQKBManifestationID)11770396 035 $a(PQKBTitleCode)TC0001338633 035 $a(PQKBWorkID)11356158 035 $a(PQKB)10464589 035 $a(DE-He213)978-3-319-11179-7 035 $a(MiAaPQ)EBC5587191 035 $a(Au-PeEL)EBL5587191 035 $a(OCoLC)889324558 035 $a(PPN)180626531 035 $a(EXLCZ)993710000000227399 100 $a20140818d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Neural Networks and Machine Learning -- ICANN 2014 $e24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings /$fedited by Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Allessandro E.P. Villa 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XXV, 852 p. 338 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v8681 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-11178-7 327 $aRecurrent Networks -- Sequence Learning -- Echo State Networks -- Recurrent Network Theory -- Competitive Learning and Self-Organisation.- Clustering and Classification -- Trees and Graphs -- Human-Machine Interaction -- Deep Networks.- Theory -- Optimization -- Layered Networks -- Reinforcement Learning and Action -- Vision -- Detection and Recognition -- Invariances and Shape Recovery -- Attention and Pose Estimation -- Supervised Learning -- Ensembles -- Regression -- Classification -- Dynamical Models and Time Series -- Neuroscience -- Cortical Models -- Line Attractors and Neural Fields -- Spiking and Single Cell Models -- Applications -- Users and Social Technologies -- Demonstrations. 330 $aThe book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014. The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks; competitive learning and self-organisation; clustering and classification; trees and graphs; human-machine interaction; deep networks; theory; reinforcement learning and action; vision; supervised learning; dynamical models and time series; neuroscience; and applications. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v8681 606 $aArtificial intelligence 606 $aComputer science 606 $aAlgorithms 606 $aPattern recognition systems 606 $aApplication software 606 $aComputer vision 606 $aArtificial Intelligence 606 $aTheory of Computation 606 $aAlgorithms 606 $aAutomated Pattern Recognition 606 $aComputer and Information Systems Applications 606 $aComputer Vision 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aPattern recognition systems. 615 0$aApplication software. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aAlgorithms. 615 24$aAutomated Pattern Recognition. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Vision. 676 $a006.3 702 $aWermter$b Stefan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWeber$b Cornelius$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDuch$b Wlodzislaw$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHonkela$b Timo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKoprinkova-Hristova$b Petia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMagg$b Sven$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPalm$b Günther$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVilla$b Allessandro E.P$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484763103321 996 $aArtificial Neural Networks and Machine Learning -- ICANN 2014$92587624 997 $aUNINA