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[null,"1.","Record Nr.",null,"UNINA9910645994203321"]
[null,null,"Titolo",null,"Bildungsforschung für praktiker in der erwachsenenbildung : die online-vortragsreihe des weiterbildung Hessen e.V. / / Claus Kapelke, Barbara Ulreich (Hg.)"]
[null,null,"Pubbl/distr/stampa",null,"Bielefeld, [Germany] : , : W. Bertelsmann Verlag, , 2011"]
[{"$nulls":4},"©2011"]
[null,null,"ISBN",null,"3-7639-4911-9"]
[null,null,"Descrizione fisica",null,"1 online resource (100 p.)"]
[null,null,"Collana",null,"Erwachsenenbildung und lebensbegleitendes Lernen"]
[null,null,"Disciplina",null,"370.78"]
[null,null,"Soggetti",null,"Adult education"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Sommario/riassunto","Hauptbeschreibung Zur Professionalisierung und damit zur Qualitätsentwicklung in der Erwachsenenbildung ist die kontinuierliche Weiterbildung der Erwachsenenbildner selbst von zentraler Bedeutung.  Dieser Sammelband enthält die überarbeiteten Beiträge der Online-Vortragsreihe \"\"Häng dich rein!\"\" und einer Podiumsdiskussion, die von Weiterbildung Hessen e.V. für Beschäftigte in Einrichtungen der Erwachsenenbildung veranstaltet wurden. Die fünf Vorträge beleuchten verschiedene wichtige Aspekte für Anbieter von Bildung: Die Rolle von Netzwerken, neue Wege des Lehren und Lernens, di"]
[null,"2.","Record Nr.",null,"UNISA996214110503316"]
[null,null,"Titolo",null,"Journal of gender studies"]
[null,null,"Pubbl/distr/stampa",null,"[Abingdon, Oxfordshire], : Carfax Pub., part of the Taylor & Francis Group"]
[null,null,"ISSN",null,"1465-3869"]
[null,null,"Disciplina",null,"305.42"]
[null,null,"Soggetti",null,"Feminism"]
[{"$nulls":4},"Women"]
[{"$nulls":4},"Gender identity"]
[{"$nulls":4},"Sex role"]
[{"$nulls":4},"Sexual orientation"]
[{"$nulls":4},"Féminisme"]
[{"$nulls":4},"Femmes"]
[{"$nulls":4},"Identité sexuelle"]
[{"$nulls":4},"Rôle selon le sexe"]
[{"$nulls":4},"Orientation sexuelle"]
[{"$nulls":4},"Gender Studies"]
[{"$nulls":4},"Periodicals."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Periodico"]
[null,null,null,"Note generali","Refereed/Peer-reviewed"]
[null,"3.","Record Nr.",null,"UNINA9910484610503321"]
[null,null,"Titolo",null,"Artificial Neural Networks in Pattern Recognition : 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010, Proceedings / / edited by Friedhelm Schwenker, Neamat El Gayar"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010"]
[null,null,"ISBN",null,"3-642-12159-4"]
[null,null,"Edizione",null,"[1st ed. 2010.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 280 p. 83 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 5998"]
[null,null,"Classificazione",null,"DAT 717f"]
[{"$nulls":4},"DAT 770f"]
[{"$nulls":4},"SS 4800"]
[null,null,"Disciplina",null,"006.4"]
[null,null,"Soggetti",null,"Pattern recognition systems"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Automated Pattern Recognition"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Supervised Learning -- Pattern Classification Using a Penalized Likelihood Method -- Evaluation of Feature Selection by Multiclass Kernel Discriminant Analysis -- Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiers -- A New Monte Carlo-Based Error Rate Estimator -- Recognition of Sequences of Graphical Patterns -- Maximum Echo-State-Likelihood Networks for Emotion Recognition -- Robustness Analysis of Eleven Linear Classifiers in Extremely High–Dimensional Feature Spaces -- Unsupervised Learning -- Global Coordination Based on Matrix Neural Gas for Dynamic Texture Synthesis -- SIC-Means: A Semi-fuzzy Approach for Clustering Data Streams Using C-Means -- The Mathematics of Divergence Based "]
[{"$nulls":4},"Online Learning in Vector Quantization -- Cluster Analysis of Cortical Pyramidal Neurons Using SOM -- Parallelized Kernel Patch Clustering -- Visual Pattern Recognition -- Neural Network Cascade for Facial Feature Localization -- A Hidden Markov Model Based Approach for Facial ExpressionRecognition in Image Sequences -- Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling -- Content-Based Retrieval and Classification of Ultrasound Medical Images of Ovarian Cysts -- Applications -- A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networks -- Swarm Based Fuzzy Discriminant Analysis for Multifunction Prosthesis Control -- Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images -- Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals -- Different Regions Identification in Composite Strain-Encoded (C-SENC) Images Using Machine Learning Techniques -- Exploiting Neural Networks to Enhance Trend Forecasting for Hotels Reservations -- VLSI Architecture of the Fuzzy Fingerprint Vault System -- Invited Talk -- Clustering Very Large Dissimilarity Data Sets."]
[null,null,null,"Sommario/riassunto","Artificial Neural Networks in Pattern Recognition synthesizes the proceedings of the 4th IAPR TC3 Workshop, ANNPR 2010. Topics include supervised and unsupervised learning, feature selection, pattern recognition in signal and image processing."]