LEADER 00824nam0-22002891i-450- 001 990006757090403321 005 20001010 035 $a000675709 035 $aFED01000675709 035 $a(Aleph)000675709FED01 035 $a000675709 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aLloyd George and the challenge of Labour$ethe post-war coalition 1918-1922$fChris Wrigley 210 $aNew York$cHarvester-Wheatsheaf$d1990 215 $aVIII,326 p 21 cm 676 $a320.941 700 1$aWrigley,$bChris$0145796 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006757090403321 952 $aXI A 2064$b13883$fFSPBC 959 $aFSPBC 996 $aLloyd George and the challenge of Labour$9630262 997 $aUNINA DB $aGEN01 LEADER 00998nam--2200349---450- 001 990002396900203316 005 20090305183043.0 035 $a000239690 035 $aUSA01000239690 035 $a(ALEPH)000239690USA01 035 $a000239690 100 $a20050207d1967----km-y0itay0103----ba 101 $aeng 102 $aUS 105 $a||||||||001yy 200 1 $aMonopoly$ebig business and welfare in the postwar united states$fDean Worcester jr 210 $aWashington$cWashington University$d1967 215 $aXII, 243 p.$d22 cm 410 0$12001 454 1$12001 461 1$1001-------$12001 676 $a338.0973 700 1$aWORCESTER,$bDean$0572214 801 0$aIT$bsalbc$gISBD 912 $a990002396900203316 951 $a338.097 WOR 1 (IEP VIII 382)$b3762 E. C.$cIEP VIII$d00203282 959 $aBK 969 $aECO 979 $aSIAV1$b10$c20050207$lUSA01$h1130 979 $aRSIAV4$b90$c20090305$lUSA01$h1830 996 $aMonopoly$91064750 997 $aUNISA LEADER 04475nam 22006375 450 001 996466213103316 005 20230329162834.0 010 $a3-319-59153-3 024 7 $a10.1007/978-3-319-59153-7 035 $a(CKB)4340000000061539 035 $a(DE-He213)978-3-319-59153-7 035 $a(MiAaPQ)EBC6302662 035 $a(MiAaPQ)EBC5590811 035 $a(Au-PeEL)EBL5590811 035 $a(OCoLC)989722986 035 $a(PPN)202990664 035 $a(EXLCZ)994340000000061539 100 $a20170517d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational Intelligence$b[electronic resource] $e14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part I /$fedited by Ignacio Rojas, Gonzalo Joya, Andreu Catala 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XXIX, 761 p. 254 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10305 311 $a3-319-59152-5 320 $aIncludes bibliographical references and index. 327 $aBio-inspired Computing -- E-Health and Computational Biology -- Human Computer Interaction -- Image and Signal Processing -- Mathematics for Neural Networks -- Self-organizing Networks -- Spiking Neurons -- Artificial Neural Networks in Industry ANNI'17 -- Computational Intelligence Tools and Techniques for Biomedical Applications -- Assistive Rehabilitation Technology -- Computational Intelligence Methods for Time Series -- Machine Learning Applied to Vision and Robotics -- Human Activity Recognition for Health and Well-Being Applications -- Software Testing and Intelligent Systems -- Real World Applications of BCI Systems -- Machine Learning in Imbalanced Domains -- Surveillance and Rescue Systems and Algorithms for Unmanned Aerial Vehicles -- End-User Development for Social Robotics -- Artificial Intelligence and Games -- Supervised, Non-Supervised, Reinforcement and Statistical Algorithms. . 330 $aThis two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, held in Cadiz, Spain, in June 2017. The 126 revised full papers presented in this double volume were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on Bio-inspired Computing; E-Health and Computational Biology; Human Computer Interaction; Image and Signal Processing; Mathematics for Neural Networks; Self-organizing Networks; Spiking Neurons; Artificial Neural Networks in Industry ANNI'17; Computational Intelligence Tools and Techniques for Biomedical Applications; Assistive Rehabilitation Technology; Computational Intelligence Methods for Time Series; Machine Learning Applied to Vision and Robotics; Human Activity Recognition for Health and Well-Being Applications; Software Testing and Intelligent Systems; Real World Applications of BCI Systems; Machine Learning in Imbalanced Domains; Surveillance and Rescue Systems and Algorithms for Unmanned Aerial Vehicles; End-User Development for Social Robotics; Artificial Intelligence and Games; and Supervised, Non-Supervised, Reinforcement and Statistical Algorithms. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10305 606 $aBioinformatics 606 $aArtificial intelligence 606 $aComputer science 606 $aComputational and Systems Biology 606 $aArtificial Intelligence 606 $aTheory of Computation 615 0$aBioinformatics. 615 0$aArtificial intelligence. 615 0$aComputer science. 615 14$aComputational and Systems Biology. 615 24$aArtificial Intelligence. 615 24$aTheory of Computation. 676 $a006.32 702 $aRojas$b Ignacio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJoya$b Gonzalo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCatala$b Andreu$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466213103316 996 $aAdvances in Computational Intelligence$92045995 997 $aUNISA