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E.$g$0173759 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006689920403321 952 $aXI A 1305$b26833$fFSPBC 959 $aFSPBC 996 $aEnclosure and the small farmer in the age of the industrial revolution$9617198 997 $aUNINA DB $aGEN01 LEADER 01129nam--2200373---450- 001 990002933220203316 005 20090323110938.0 010 $a88-06-18291-9 035 $a000293322 035 $aUSA01000293322 035 $a(ALEPH)000293322USA01 035 $a000293322 100 $a20070528d2006----km-y0enga50------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aCambiare regime$ela sinistra e gli ultimi 45 dittatori$fChristian Rocca 210 $aTorino$cEinaudi$dcopyr. 2006 215 $aVI, 254 p.$d21 cm 225 2 $a<> struzzi$v615 410 0$12001$a<> struzzi$v615 606 1$aPartiti di sinistra$xPolitica estera$zSec. 20. 606 $aDemocrazia$xDiffusione$zSec. 20. 676 $a320.50904 700 1$aROCCA,$bChristian$0597223 801 0$aIT$bsalbc$gISBD 912 $a990002933220203316 951 $a320.509 ROC 1 (ISP IV 1700)$b54931 G.$cISP IV$d00159317 959 $aBK 969 $aECO 979 $aCAPORASO$b90$c20070528$lUSA01$h0936 979 $aRSIAV2$b90$c20090323$lUSA01$h1109 996 $aCambiare regime$91030020 997 $aUNISA LEADER 00830nam0-2200277 --450 001 9910801894703321 005 20240207172703.0 010 $a0890540772 100 $a20240207d1987----kmuy0itay5050 ba 101 0 $aeng 102 $aUS 105 $aa 001yy 200 1 $aCompendium of ornamental foliage plant diseases$fA. 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Chase 210 $a[St. Paul, Minn.$cAPS press]$dc1987 215 $aV. 92 p.$cill.$d28 cm. 225 1 $a<>disease compendium series 610 0 $aPiante ornamentali$aMalattie 676 $a635.92$v23$zita 700 1$aChase,$bAnn Renee$01588072 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910801894703321 952 $aA PAT 1456-5$b1550/2024$fFAGBC 959 $aFAGBC 996 $aCompendium of ornamental foliage plant diseases$93877180 997 $aUNINA LEADER 01659nam 22004933 450 001 9910155104003321 005 20230808200851.0 010 $a9781925227161 010 $a1925227162 035 $a(CKB)3710000000973182 035 $a(MiAaPQ)EBC5113126 035 $a(Au-PeEL)EBL5113126 035 $a(OCoLC)965905185 035 $a(EXLCZ)993710000000973182 100 $a20210901d2016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInto Tordon 205 $a1st ed. 210 1$aSydney :$cMidnightSun Publishing,$d2016. 210 4$dİ2016. 215 $a1 online resource (122 pages) 311 08$a9781925227147 311 08$a1925227146 327 $aIntro -- Title Page -- Copyright -- Dedication -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Chapter 8 -- Chapter 9 -- Chapter 10 -- Chapter 11 -- Chapter 12 -- Chapter 13 -- Chapter 14 -- Chapter 15 -- Chapter 16 -- Chapter 17 -- Chapter 18 -- Chapter 19 -- Chapter 20 -- Chapter 21 -- Chapter 22 -- Chapter 23 -- Chapter 24 -- One Year Later -- About the Author -- Acknowledgements. 330 $aAges 8-14. 606 $aAdventure video games 606 $aVideo gamers 606 $aSurvival 615 0$aAdventure video games. 615 0$aVideo gamers. 615 0$aSurvival. 676 $a813.6 700 $aKingbolt$b Z.F$01374702 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155104003321 996 $aInto Tordon$93408134 997 $aUNINA LEADER 04051nam 22006615 450 001 9910299586103321 005 20200703104754.0 010 $a3-319-71489-9 024 7 $a10.1007/978-3-319-71489-9 035 $a(CKB)4100000001381502 035 $a(DE-He213)978-3-319-71489-9 035 $a(MiAaPQ)EBC5210243 035 $a(PPN)222226056 035 $a(EXLCZ)994100000001381502 100 $a20171222d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutomatic Tuning of Compilers Using Machine Learning /$fby Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XVII, 118 p. 23 illus., 6 illus. in color.) 225 1 $aPoliMI SpringerBriefs,$x2282-2577 311 $a3-319-71488-0 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aBackground -- DSE Approach for Compiler Passes -- Addressing the Selection Problem of Passes using ML -- Intermediate Speedup Prediction for the Phase-ordering Problem -- Full-sequence Speedup Prediction for the Phase-ordering Problem -- Concluding Remarks. . 330 $aThis book explores break-through approaches to tackling and mitigating the well-known problems of compiler optimization using design space exploration and machine learning techniques. It demonstrates that not all the optimization passes are suitable for use within an optimization sequence and that, in fact, many of the available passes tend to counteract one another. After providing a comprehensive survey of currently available methodologies, including many experimental comparisons with state-of-the-art compiler frameworks, the book describes new approaches to solving the problem of selecting the best compiler optimizations and the phase-ordering problem, allowing readers to overcome the enormous complexity of choosing the right order of optimizations for each code segment in an application. As such, the book offers a valuable resource for a broad readership, including researchers interested in Computer Architecture, Electronic Design Automation and Machine Learning, as well as computer architects and compiler developers. 410 0$aPoliMI SpringerBriefs,$x2282-2577 606 $aComputational intelligence 606 $aProgramming languages (Electronic computers) 606 $aComputer simulation 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aProgramming languages (Electronic computers) 615 0$aComputer simulation. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aProgramming Languages, Compilers, Interpreters. 615 24$aSimulation and Modeling. 615 24$aArtificial Intelligence. 676 $a005.453 700 $aAshouri$b Amir H$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063891 702 $aPalermo$b Gianluca$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aCavazos$b John$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSilvano$b Cristina$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299586103321 996 $aAutomatic Tuning of Compilers Using Machine Learning$92535168 997 $aUNINA