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[null,null,"Titolo",null,"Partially Supervised Learning [[electronic resource] ] : First IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers / / edited by Friedhelm Schwenker, Edmondo Trentin"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012"]
[null,null,"ISBN",null,"3-642-28258-X"]
[null,null,"Edizione",null,"[1st ed. 2012.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 159 p.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 7081"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Pattern recognition"]
[{"$nulls":4},"Optical data processing"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Bioinformatics"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Pattern Recognition"]
[{"$nulls":4},"Image Processing and Computer Vision"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[{"$nulls":4},"Computational Biology/Bioinformatics"]
[{"$nulls":4},"Algorithm Analysis and Problem Complexity"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and author index."]
[null,null,null,"Sommario/riassunto","This book constitutes thoroughly refereed revised selected papers from the First IAPR TC3 Workshop on Partially Supervised Learning, PSL 2011, held in Ulm, Germany, in September 2011. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in the book, which also includes 3 invited talks. PSL 2011 dealt with methodological issues as well as real-world applications of PSL. The main methodological issues were: combination of supervised and unsupervised learning; diffusion learning; semi-supervised classification, regression, and clustering; learning with deep architectures; active learning; PSL with vague, fuzzy, or uncertain teaching signals; learning, or statistical pattern recognition; and PSL in "]
[{"$nulls":4},"cognitive systems. Applications of PSL included: image and signal processing; multi-modal information processing; sensor/information fusion; human computer interaction; data mining and Web mining; forensic anthropology; and bioinformatics."]