LEADER 00931nam0-2200313---450- 001 990009467520403321 005 20111027095755.0 035 $a000946752 035 $aFED01000946752 035 $a(Aleph)000946752FED01 035 $a000946752 100 $a20111027d--------km-y0itay50------ba 101 0 $aspa 102 $aES 105 $a--------001yy 200 1 $a<>pescado y su inspección$fJohn D. Syme$gtraducido del inglés por el Dr. D. Benito Moreno Garcia 210 $aZaragoza$cAcribia$dstampa 1969 215 $a251 p.$cill.$d22 cm 454 0$12001$aFish and fish inspection$954449 610 0 $aProdotti ittici$aIspezione 700 1$aSyme$bJohn D.$0513905 702 1$aMoreno Garcia$bD. Benito 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009467520403321 952 $a55 D I$b8047$fDMVAP 959 $aDMVAP 996 $aFish and fish inspection$954449 997 $aUNINA LEADER 01341nam 2200373 n 450 001 996386953903316 005 20221108093017.0 035 $a(CKB)1000000000620689 035 $a(EEBO)2240865798 035 $a(UnM)99829421 035 $a(UnM)9928071800971 035 $a(EXLCZ)991000000000620689 100 $a19950607d1690 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe test and tryal of medicines$b[electronic resource] $eand the different modes of medical practice. Shewing what hopes of help, from physick and physicians. By E.M. Med. D 210 $a[London $cprinted for Thomas Basset, at the George in Fleetstreet; and Thomas Horne, at the South-entrance of the Royal-Exchange$d1690] 215 $a8 p 300 $aCaption title. 300 $aImprint from colophon. 300 $aSigned on A4v: E. Maynwaringe. Includes an advertisement at the foot of A4v. 300 $aReproduction of the original in the British Library. 330 $aeebo-0018 606 $aMedicine$vEarly works to 1800 615 0$aMedicine 700 $aMaynwaringe$b Everard$f1628-1699?$01002737 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996386953903316 996 $aThe test and tryal of medicines$92404634 997 $aUNISA LEADER 01842nam0 22004213i 450 001 VAN0248977 005 20230529025337.481 017 70$2N$a9783030367213 100 $a20220804d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aDeep Learning Architectures$eA Mathematical Approach$fOvidiu Calin 210 $aCham$cSpringer$d2020 215 $axxx, 760 p.$cill.$d24 cm 410 1$1001VAN0113882$12001 $aSpringer series in the Data Sciences$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0248978$aDeep Learning Architectures$92052289 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 606 $a92B20$xNeural networks for/in biological studies, artificial life and related topics [MSC 2020]$3VANC021414$2MF 606 $a68T07$xArtificial neural networks and deep learning [MSC 2020]$3VANC036862$2MF 610 $aBoltzmann machine$9KW:K 610 $aDeep Learning$9KW:K 610 $aEntropy$9KW:K 610 $aFisher Information Metric$9KW:K 610 $aKullback-Leibler Divergence$9KW:K 610 $aMachine learning$9KW:K 610 $aNeural networks$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aCalin$bOvidiu$3VANV080934$0471645 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-36721-3$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0248977 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4615 $e08eMF4615 20220804 996 $aDeep Learning Architectures$92052289 997 $aUNICAMPANIA