LEADER 03766nam 22007815 450 001 996466571403316 005 20230222034945.0 010 $a3-030-16670-8 024 7 $a10.1007/978-3-030-16670-0 035 $a(CKB)4100000007881213 035 $a(DE-He213)978-3-030-16670-0 035 $a(MiAaPQ)EBC5923994 035 $a(PPN)235668354 035 $a(EXLCZ)994100000007881213 100 $a20190326d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGenetic Programming$b[electronic resource] $e22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24?26, 2019, Proceedings /$fedited by Lukas Sekanina, Ting Hu, Nuno Lourenço, Hendrik Richter, Pablo García-Sánchez 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XII, 295 p. 130 illus., 51 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11451 311 $a3-030-16669-4 320 $aIncludes bibliographical references and index. 330 $aThis book constitutes the refereed proceedings of the 22nd European Conference on Genetic Programming, EuroGP 2019, held as part of Evo* 2019, in Leipzig, Germany, in April 2019, co-located with the Evo* events EvoCOP, EvoMUSART, and EvoApplications. The 12 revised full papers and 6 short papers presented in this volume were carefully reviewed and selected from 36 submissions. They cover a wide range of topics and reflect the current state of research in the field. With a special focus on real-world applications in 2019, the papers are devoted to topics such as the test data design in software engineering, fault detection and classification of induction motors, digital circuit design, mosquito abundance prediction, machine learning and cryptographic function design. . 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11451 606 $aAlgorithms 606 $aArtificial intelligence 606 $aData mining 606 $aComputer science?Mathematics 606 $aDiscrete mathematics 606 $aArtificial intelligence?Data processing 606 $aPattern recognition systems 606 $aAlgorithms 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aDiscrete Mathematics in Computer Science 606 $aData Science 606 $aAutomated Pattern Recognition 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aComputer science?Mathematics. 615 0$aDiscrete mathematics. 615 0$aArtificial intelligence?Data processing. 615 0$aPattern recognition systems. 615 14$aAlgorithms. 615 24$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aData Science. 615 24$aAutomated Pattern Recognition. 676 $a006.3823 702 $aSekanina$b Lukas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHu$b Ting$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLourenço$b Nuno$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRichter$b Hendrik$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGarcía-Sánchez$b Pablo$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466571403316 996 $aGenetic Programming$9772374 997 $aUNISA LEADER 01981nam 2200433 450 001 9910708092203321 005 20170315161307.0 035 $a(CKB)5470000002469653 035 $a(OCoLC)974648494 035 $a(OCoLC)995470000002469653 035 $a(EXLCZ)995470000002469653 100 $a20170306d2014 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aChildren's health insurance, cost, coverage, and access considerations for extending federal funding : testimony before the Subcommittee on Health, Committee on Energy and Commerce, House of Representatives / statement of Carolyn L. Yocom 210 1$a[Washington, D.C.] :$cUnited States Government Accountability Office,$d2014. 215 $a1 online resources (10 pages) 225 1 $aTestimony ;$vGAO-15-268T 300 $a"For release ... December 3, 2014." 300 $a"June 2012." 320 $aIncludes bibliographical references. 517 $aChildren's health insurance, cost, coverage, and access considerations for extending federal funding 606 $aChild health insurance$xEconomic aspects$zUnited States 606 $aHealth insurance$zUnited States$xFinance 606 $aHealth services accessibility$xEconomic aspects$zUnited States 615 0$aChild health insurance$xEconomic aspects 615 0$aHealth insurance$xFinance. 615 0$aHealth services accessibility$xEconomic aspects 702 $aYocom$b Carolyn 712 02$aUnited States.$bCongress.$bHouse.$bCommittee on Energy and Commerce.$bSubcommittee on Health, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910708092203321 996 $aChildren's health insurance, cost, coverage, and access considerations for extending federal funding : testimony before the Subcommittee on Health, Committee on Energy and Commerce, House of Representatives$93351484 997 $aUNINA