LEADER 01850nas 2200433- 450 001 9910439033403321 005 20220525213022.0 011 $a2666-8270 035 $a(DE-599)ZDB3052291-2 035 $a(OCoLC)1254077490 035 $a(CKB)4100000011370475 035 $a(CONSER)--2022239177 035 $a(EXLCZ)994100000011370475 100 $a20210413a20209999 --- - 101 0 $aeng 135 $aurunu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine Learning with Applications 210 1$a[Oxford] :$cElsevier Ltd.,$d2020- 215 $a1 online resource 300 $aRefereed/Peer-reviewed 330 $aMachine Learning with Applications (MLWA) is a peer reviewed, open access journal focused on research related to machine learning. The journal encompasses all aspects of research and development in ML, including but not limited to data mining, computer vision, natural language processing (NLP), intelligent systems, neural networks, AI-based software engineering, bioinformatics and their applications in the areas of engineering, medicine, biology, education, business and social sciences. It covers a broad spectrum of applications in the community, from industry, government, and academia. 606 $aMachine learning$vPeriodicals 606 $aApprentissage automatique$vPériodiques 606 $aMachine learning$2fast$3(OCoLC)fst01004795 608 $aPeriodical 608 $aperiodicals.$2aat 608 $aPeriodicals.$2fast 608 $aPeriodicals.$2lcgft 608 $aPériodiques.$2rvmgf 615 0$aMachine learning 615 6$aApprentissage automatique 615 7$aMachine learning. 906 $aJOURNAL 912 $a9910439033403321 996 $aMachine Learning with Applications$92233291 997 $aUNINA