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1. |
Record Nr. |
UNISA996466171503316 |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
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ISBN |
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Edizione |
[1st ed. 2012.] |
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Descrizione fisica |
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1 online resource (X, 159 p.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 7081 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Pattern recognition |
Optical data processing |
Application software |
Bioinformatics |
Algorithms |
Artificial Intelligence |
Pattern Recognition |
Image Processing and Computer Vision |
Information Systems Applications (incl. Internet) |
Computational Biology/Bioinformatics |
Algorithm Analysis and Problem Complexity |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and author index. |
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Sommario/riassunto |
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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 |
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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 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. |
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2. |
Record Nr. |
UNISA996466313803316 |
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Titolo |
Computational Collective Intelligence. Technologies and Applications [[electronic resource] ] : 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Kiem Hoang, Piotr Jedrzejowicz |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
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ISBN |
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Edizione |
[1st ed. 2012.] |
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Descrizione fisica |
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1 online resource (XXVI, 565 p. 208 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 7654 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Data mining |
Information storage and retrieval |
Application software |
User interfaces (Computer systems) |
Optical data processing |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
Information Storage and Retrieval |
Information Systems Applications (incl. Internet) |
User Interfaces and Human Computer Interaction |
Computer Imaging, Vision, Pattern Recognition and Graphics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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multi-dimensional data processing -- web systems -- intelligent decision making -- methods for scheduling -- collective intelligence in web systems – web systems analysis -- advanced data mining techniques and applications -- cooperative problem solving -- computational swarm intelligence -- semantic methods for knowledge discovery and communication. |
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Sommario/riassunto |
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The two volumes set LNCS 7653 and 7654 constitutes the refereed proceedings of the 4th International Conference on Computational Collective Intelligence, ICCCI, held in Ho Chi Minh City, Vietnam, in November 2012. The 113 revised full papers presented were carefully reviewed and selected from 397 submissions. The papers are organized in topical sections on (Part I) knowledge integration; data mining for collective processing; fuzzy, modal, and collective systems; nature inspired systems; language processing systems; social networks and semantic web; agent and multi-agent systems; classification and clustering methods; modeling and optimization techniques for business intelligence; (Part II) multi-dimensional data processing; web systems; intelligent decision making; methods for scheduling; collective intelligence in web systems – web systems analysis; advanced data mining techniques and applications; cooperative problem solving; computational swarm intelligence; and semantic methods for knowledge discovery and communication. |
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