Future and Emerging Trends in Language Technology. Machine Learning and Big Data, Jos? F. Quesada; Mart?n Mateos Francisco-Jes?s; Te

Автор: Pardalos
Название: Machine Learning, Optimization, and Big Data
ISBN: 3319514687 ISBN-13(EAN): 9783319514680
Издательство: Springer
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Цена: 61490.00 T
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Описание: This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions.

Автор: Quesada
Название: Future and Emergent Trends in Language Technology
ISBN: 3319334999 ISBN-13(EAN): 9783319334998
Издательство: Springer
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Цена: 42860.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Future and Emergent Trends in Language Technology, FETLT 2015, held in Seville, Spain, in November 2015.The 10 full papers presented together with 3 position papers and 7 invited keynote abstracts were selected from numerous submissions. The structure of the Workshop will feature a significant number of experts in language technologies and convergent areas. One objective will be the organization of forum sessions in order to review some of the current-trend research projects that are already addressing new methodological approaches and proposing solutions and innovative applications. A second major objective will be brainstorming sessions where representatives of the most innovative industrial sector in this area can present and describe the challenges and socio-economic needs of the present and immediate future. All researchers are invited to submit proposals that incorporate solid research and innovation ideas in the field of language technology and in connection with other convergent areas.

Автор: Shan Suthaharan
Название: Machine Learning Models and Algorithms for Big Data Classification
ISBN: 1489978526 ISBN-13(EAN): 9781489978523
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book presents machine learning models and algorithms to address big data classification problems. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The third part presents the topics required to understand and select machine learning techniques to classify big data.

Автор: Petra Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3319210238 ISBN-13(EAN): 9783319210230
Издательство: Springer
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Цена: 59630.00 T
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Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Автор: Christine Preisach; Hans Burkhardt; Lars Schmidt-T
Название: Data Analysis, Machine Learning and Applications
ISBN: 3540782397 ISBN-13(EAN): 9783540782391
Издательство: Springer
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Цена: 186290.00 T
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Описание: Contains the selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft fur Klassifikation - GfKl), which was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

Автор: Shi Yu; L?on-Charles Tranchevent; Bart Moor; Yves
Название: Kernel-based Data Fusion for Machine Learning
ISBN: 3642267513 ISBN-13(EAN): 9783642267512
Издательство: Springer
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Цена: 130590.00 T
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Описание: Data fusion problems arise in many different fields. This book provides a specific introduction to solve data fusion problems using support vector machines. The reader will require a good knowledge of data mining, machine learning and linear algebra.

Автор: Clara Pizzuti; Marylyn D. Ritchie; Mario Giacobini
Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
ISBN: 3642011837 ISBN-13(EAN): 9783642011832
Издательство: Springer
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Цена: 65210.00 T
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Описание: Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book includes such topics as biomarker discovery, cell simulation and modeling, and ecological modeling.

Автор: Bertrand Clarke; Ernest Fokoue; Hao Helen Zhang
Название: Principles and Theory for Data Mining and Machine Learning
ISBN: 1461417074 ISBN-13(EAN): 9781461417071
Издательство: Springer
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Цена: 144410.00 T
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Описание: This book provides a thorough introduction to the most important topics in data mining and machine learning. All the topics covered have undergone rapid development and this treatment offers a modern perspective emphasizing the most recent contributions.

Автор: Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3319419196 ISBN-13(EAN): 9783319419190
Издательство: Springer
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Цена: 89440.00 T
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Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Автор: Maosong Sun; Xuanjing Huang; Hongfei Lin; Zhiyuan
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319476734 ISBN-13(EAN): 9783319476735
Издательство: Springer
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Цена: 61490.00 T
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Описание: This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016.

Автор: Maosong Sun; Min Zhang; Dekang Lin; Haifeng Wang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3642414907 ISBN-13(EAN): 9783642414909
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 12th China National Conference on Computational Linguistics, CCL 2013, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China, in October 2013.

Автор: Maosong Sun; Zhiyuan Liu; Min Zhang; Yang Liu
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 331925815X ISBN-13(EAN): 9783319258157
Издательство: Springer
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Цена: 59630.00 T
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Описание: Lexical semantics and ontologies.- Semantics.- Sentiment analysis, opinion mining and text classification.- Machine translation.- Multilinguality in NLP.-Machine learning methods for NLP;.-Knowledge graph and information extraction.-Discourse, coreference and pragmatics.- Information retrieval and question answering.- Social computing.- NLP applications.