LEADER 01721nas 2200469-a 450 001 996210232003316 005 20210830213020.0 011 $a1619-1471 035 $a(DE-599)ZDB2173485-9 035 $a(OCoLC)231858646 035 $a(CKB)1000000000033886 035 $a(CONSER)--2008263307 035 $a(EXLCZ)991000000000033886 100 $a20080613b19911991 s-- - 101 0 $ager 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMitteilungen der Arbeitsgemeinschaft Mittelalter und Neuzeit 210 $a[Germany] $c[Arbeitsgemeinschaft für Archäologie des Mittelalters und der Neuzeit]$d[1991] 311 $a1438-7735 517 1 $aMitteilungen der Arbeitsgemeinschaft für Archäologie des Mittelalters und der Neuzeit 606 $aArchaeology, Medieval$zEurope, German-speaking$vPeriodicals 606 $aArchaeology$zEurope, German-speaking$vPeriodicals 606 $aArchaeology$zGermany$vPeriodicals 606 $aArchaeology$2fast$3(OCoLC)fst00812938 606 $aArchaeology, Medieval$2fast$3(OCoLC)fst00813014 607 $aDeutschland$xArchäologie$xZeitschrift$zGeschichte 500-1800 607 $aGerman-speaking Europe$2fast 607 $aGermany$2fast 608 $aPeriodicals.$2fast 615 0$aArchaeology, Medieval 615 0$aArchaeology 615 0$aArchaeology 615 7$aArchaeology. 615 7$aArchaeology, Medieval. 712 02$aArbeitsgemeinschaft für Archäologie des Mittelalters und der Neuzeit. 906 $aJOURNAL 912 $a996210232003316 996 $aMitteilungen der Arbeitsgemeinschaft Mittelalter und Neuzeit$92226881 997 $aUNISA LEADER 01231nam0-22003371i-450 001 990004330730403321 005 20251029154901.0 010 $a2-05-101173-7 035 $a000433073 100 $a19990604d1991----km-y0itay50------ba 101 2 $afre$alat 102 $aFR 105 $ay-------001yy 200 1 $a<>vie et les epistres Pierres Abaelart et Heloys sa fame$ftraduction du 13. siècle attribuée à Jean de Meun$gavec une nouvelle édition des textes latins d'après le ms. Troyes Bibl. mun. 802 par Eric Hicks 210 $aParis$cChampion - Slatkine$d1991 215 $av.$d23 cm 225 1 $aNouvelle bibliothèque du Moyen âge$v16 327 0 $a1.: Introduction, textes 610 0 $aAbelardo, Pietro$aEpistulae$aTraduzioni francesi$aSec. 13. 676 $a848.108 700 0$aAbaelardus Petrus$f<1079-1142>$0156884 701 0$aEloisa$f<1101-1164>$0195385 702 0$aJean de Meung$f<124.?-1304?> 702 1$aHicks,$bEric$f<1937-2004> 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004330730403321 952 $a809.02 NBMA 16 (1)$bBibl.13418$fFLFBC 959 $aFLFBC 996 $aVie et les epistres Pierres Abaelart et Heloys sa fame$94448753 997 $aUNINA LEADER 05822nam 22006975 450 001 9910484642303321 005 20251113201615.0 010 $a3-030-74251-2 024 7 $a10.1007/978-3-030-74251-5 035 $a(CKB)4100000011881072 035 $a(MiAaPQ)EBC6550471 035 $a(Au-PeEL)EBL6550471 035 $a(OCoLC)1246576384 035 $a(PPN)255289502 035 $a(DE-He213)978-3-030-74251-5 035 $a(EXLCZ)994100000011881072 100 $a20210412d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Intelligent Data Analysis XIX $e19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26?28, 2021, Proceedings /$fedited by Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, João Gama 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (xvi, 454 pages) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v12695 311 08$a3-030-74250-4 320 $aIncludes bibliographical references and index. 327 $aModeling with Neural Networks -- Hyperspherical Weight Uncertainty in Neural Networks -- Partially Monotonic Learning for Neural Networks -- Multiple-Manifold Generation with an Ensemble GAN and Learned Noise Prior -- Simple, Efficient and Convenient Decentralized Multi-Task Learning for Neural Networks -- Deep Hybrid Neural Networks with Improved Weighted Word Embeddings for Sentiment Analysis -- Explaining Neural Networks by Decoding Layer Activations -- Analogical Embedding for Analogy-based Learning to Rank -- HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data -- Modeling with Statistical Learning -- Incremental Search Space Construction for Machine Learning Pipeline Synthesis -- Adversarial Vulnerability of Active Transfer Learning -- Revisiting Non-Specific Syndromic Surveillance -- Gradient Ascent for Best Response Regression -- Intelligent Structural Damage Detection: a Federated Learning Approach -- Composite surrogate for likelihood-freeBayesian optimisation in high-dimensional settings of activity-based transportation models -- Active Selection of Classification Features -- Feature Selection for Hierarchical Multi-Label Classification -- Bandit Algorithm for Both Unknown Best Position and Best Item Display on Web Pages -- Performance prediction for hardware-software configurations: A case study for video games -- avatar / Automated Feature Wrangling for Machine Learning -- Modeling Language and Graphs -- Semantically Enriching Embeddings of Highly In ectable Verbs for Improving Intent Detection in a Romanian Home Assistant Scenario -- BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis -- Linking the Dynamics of User Stance to the Structure of Online Discussions -- Unsupervised Methods for the Study of Transformer Embeddings -- A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces -- DeepGG: a Deep Graph Generator -- SINr: fast computing of Sparse Interpretable Node Representations is not a sin -- Detection of contextual anomalies in attributed graphs -- Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware -- Modeling Special Data Formats -- Reducing Negative Impact of Noise in Boolean Matrix Factorization with Association Rules -- Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots -- muppets: Multipurpose Table Segmentation -- SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints -- RTL: A Robust Time Series Labeling Algorithm -- The Compromise of Data Privacy in Predictive Performance -- Efficient Privacy Preserving Distributed K-Means for Non-IID Data. 330 $aThis book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take place in Porto, Portugal. Due to the COVID-19 pandemic the conference was held online during April 26-28, 2021. The 35 papers included in this book were carefully reviewed and selected from 113 submissions. The papers were organized in topical sections named: modeling with neural networks; modeling with statistical learning; modeling language and graphs; and modeling special data formats. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v12695 606 $aDatabase management 606 $aSocial sciences$xData processing 606 $aAlgorithms 606 $aEducation$xData processing 606 $aNatural language processing (Computer science) 606 $aDatabase Management 606 $aComputer Application in Social and Behavioral Sciences 606 $aDesign and Analysis of Algorithms 606 $aComputers and Education 606 $aNatural Language Processing (NLP) 615 0$aDatabase management. 615 0$aSocial sciences$xData processing. 615 0$aAlgorithms. 615 0$aEducation$xData processing. 615 0$aNatural language processing (Computer science). 615 14$aDatabase Management. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aDesign and Analysis of Algorithms. 615 24$aComputers and Education. 615 24$aNatural Language Processing (NLP). 676 $a006.4 702 $aAbreu$b Pedro Henriques 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484642303321 996 $aAdvances in intelligent data analysis XIX$91897576 997 $aUNINA