LEADER 01331nam2-2200409li-450 001 990000237210203316 005 20180312154634.0 035 $a0023721 035 $aUSA010023721 035 $a(ALEPH)000023721USA01 035 $a0023721 100 $a2001990081985-------y0itay0103----ba 101 0 $ager 102 $aGE 200 1 $aSperner theory in partially ordered sets$fKonrad Engel, Hans-Dietrich Gronau 205 $a1 aufl. 210 $aLeipzig$cBSB Teubner$d1985 215 $a232 p.$cill.$d21 cm 225 2 $aTeubner-Texte zur Mathematik$v78 410 0$10010023720$12001$aTeubner-Texte zur Mathematik 610 1 $aInsiemi parzialmente ordinati 610 1 $aTopologia combinatoria 676 $a511.33$9Relazioni e sistemi parzialmente ordinati 700 1$aENGEL,$bKonrad$0536906 702 1$aGRONAU,$bHans-Dietrich 801 $aSistema bibliotecario di Ateneo dell' Universitŕ di Salerno$gRICA 912 $a990000237210203316 951 $a511.33 ENG$b12281/CBS$c511.33$d00218396 959 $aBK 969 $aSCI 979 $c19900822 979 $c20001110$lUSA01$h1715 979 $c20020403$lUSA01$h1632 979 $aPATRY$b90$c20040406$lUSA01$h1617 979 $aRSIAV6$b90$c20090428$lUSA01$h0812 996 $aSperner theory in partially ordered sets$91487523 997 $aUNISA LEADER 03625nam 2201081z- 450 001 9910674055503321 005 20220111 035 $a(CKB)5400000000042658 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76494 035 $a(oapen)doab76494 035 $a(EXLCZ)995400000000042658 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBioinformatics Applications Based On Machine Learning 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (206 p.) 311 08$a3-0365-0760-4 311 08$a3-0365-0761-2 330 $aThe great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems. 606 $aTechnology: general issues$2bicssc 610 $aAffective Computing 610 $aArabidopsis thaliana 610 $aArtificial Neural Networks 610 $abi-directional LSTM 610 $abioinformatics 610 $abiological functions detection 610 $aclassification 610 $aclinical data 610 $aclinical implications 610 $acluster 610 $acomputer vision 610 $aconvolutional neural network 610 $aCTX-M 610 $adata mining 610 $aDecision table 610 $adeep learning 610 $aderivative-free optimization 610 $adetection 610 $adiabetes 610 $adynamic models 610 $aear detection 610 $aepidemiology 610 $aevolutionary computation 610 $aevolutionary computing 610 $afeature selection 610 $aforecast 610 $afuel cell 610 $agene clustering 610 $agenetic programming 610 $aglycolysis 610 $agradient boosting 610 $aHarmony Search 610 $ahybrid systems 610 $ahydrogen energy 610 $aimage recognition 610 $ainformative genes 610 $aintelligent systems 610 $amachine learning 610 $aMachine Learning 610 $ametabolism 610 $ametagenomics 610 $ametrics 610 $amitochondrial protein 610 $aparameter estimation 610 $aPART 610 $aParticle Swarm Optimization 610 $apersonality assessment 610 $aplasmodium falciparum 610 $apower management 610 $areal-life patients 610 $aregression 610 $aswarm intelligence 610 $atransposable elements 610 $avideo analysis 610 $aWeka 610 $ayeast 615 7$aTechnology: general issues 700 $aChamoso$b Pablo$4edt$01254368 702 $aRodriguez$b Sara$4edt 702 $aMohamad$b Mohd$4edt 702 $aGonzález-Briones$b Alfonso$4edt 702 $aChamoso$b Pablo$4oth 702 $aRodriguez$b Sara$4oth 702 $aMohamad$b Mohd$4oth 702 $aGonzález-Briones$b Alfonso$4oth 906 $aBOOK 912 $a9910674055503321 996 $aBioinformatics Applications Based On Machine Learning$93057209 997 $aUNINA