LEADER 02364nam 2200601 450 001 9910797060203321 005 20230807214201.0 010 $a0-8173-8816-8 035 $a(CKB)3710000000382606 035 $a(EBL)2001960 035 $a(SSID)ssj0001457347 035 $a(PQKBManifestationID)11865000 035 $a(PQKBTitleCode)TC0001457347 035 $a(PQKBWorkID)11441386 035 $a(PQKB)11206242 035 $a(MiAaPQ)EBC2001960 035 $a(OCoLC)905678253 035 $a(MdBmJHUP)muse42243 035 $a(Au-PeEL)EBL2001960 035 $a(CaPaEBR)ebr11037864 035 $a(EXLCZ)993710000000382606 100 $a20150410h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aImmersive words $emass media, visuality, and American literature, 1839-1893 /$fShelly Jarenski 210 1$aTuscaloosa, Alabama :$cThe University of Alabama Press,$d2015. 210 4$dİ2015 215 $a1 online resource (248 p.) 300 $aDescription based upon print version of record. 311 $a0-8173-1867-4 320 $aIncludes bibliographical references and index. 327 $aDisruptive aesthetics: Melville's daguerrean experiments -- Panoramic aesthetics and African American challenges -- Imagined tourism: Hawthorne's virtual Rome -- Spectacular display: the politics of exhibition aesthetics -- Coda. 330 $a
Shelly Jarenski is an assistant professor of English at the University of Michigan in Dearborn. Her articles have appeared in American Quarterly, MELUS, and the Journal of the Midwest Modern Language Association.
606 $aAmerican literature$y19th century$xHistory and criticism 606 $aNational characteristics, American, in literature 606 $aAesthetics in literature 606 $aAesthetics, American 615 0$aAmerican literature$xHistory and criticism. 615 0$aNational characteristics, American, in literature. 615 0$aAesthetics in literature. 615 0$aAesthetics, American. 676 $a820.9/357 700 $aJarenski$b Shelly$01572705 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910797060203321 996 $aImmersive words$93847842 997 $aUNINA LEADER 03885nam 22006015 450 001 9910484960203321 005 20251113211335.0 010 $a981-15-1918-8 024 7 $a10.1007/978-981-15-1918-5 035 $a(CKB)4100000010118360 035 $a(MiAaPQ)EBC6026432 035 $a(DE-He213)978-981-15-1918-5 035 $a(PPN)243765142 035 $a(EXLCZ)994100000010118360 100 $a20200117d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Integrations of Intelligent Methods $ePost-workshop volume of the 8th International Workshop CIMA 2018, Volos, Greece, November 2018 (in conjunction with IEEE ICTAI 2018) /$fedited by Ioannis Hatzilygeroudis, Isidoros Perikos, Foteini Grivokostopoulou 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (171 pages) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v170 311 08$a981-15-1917-X 320 $aIncludes bibliographical references. 327 $aAligning Learning Materials and Assessment with Course Learning Outcomes in MOOCs using Data Mining Techniques -- Edge-Centric Queries Stream Management based on an Ensemble Model -- Bitcoin Price Prediction Combining Data and Text Mining -- Towards New Evaluation Metrics for Relational Learning -- Color Models for Skin Lesions Classification from Dermatoscopic Images -- Methods of Statistical Analysis and Machine Learning for the Evaluation of Generated Hardware and Firmware Designs -- Genetic Algorithms for Creating Large Job Shop Dispatching Rules. 330 $aThis book presents a number of research efforts in combining AI methods or techniques to solve complex problems in various areas. The combination of different intelligent methods is an active research area in artificial intelligence (AI), since it is believed that complex problems can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and classical AI methods; and agent-based approaches with logic and non-symbolic approaches. Some of the combinations are already extensively used, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are still being investigated, such as those related to the semantic web, deep learning and swarm intelligence algorithms. Most are connected with specific applications, while the rest are based on principles. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v170 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aTelecommunication 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aCommunications Engineering, Networks 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aTelecommunication. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aCommunications Engineering, Networks. 676 $a006.3 702 $aHatzilygeroudis$b Ioannis$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPerikos$b Isidoros$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGrivokostopoulou$b Foteini$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484960203321 996 $aAdvances in Integrations of Intelligent Methods$92034100 997 $aUNINA