Federal Information Processing Standards Publication
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Published: 1983
Total Pages: 70
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author:
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Published: 1983
Total Pages: 70
ISBN-13:
DOWNLOAD EBOOKAuthor: Robert G. Lord
Publisher: Routledge
Published: 2002-09-26
Total Pages: 309
ISBN-13: 1134858523
DOWNLOAD EBOOKUsing information processing and leadership perception processes the authors provide a much needed analysis of executive leadership, offering a theoretical and empirical basis for analysing this crucial element of organizational behaviour.
Author: Anne Laurent
Publisher: Springer
Published: 2014-07-17
Total Pages: 647
ISBN-13: 3319088556
DOWNLOAD EBOOKThese three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; data analysis; real-world applications; aggregation; probabilistic networks; recommendation systems and social networks; fuzzy systems; fuzzy logic in boolean framework; management of uncertainty in social networks; from different to same, from imitation to analogy; soft computing and sensory analysis; database systems; fuzzy set theory; measurement and sensory information; aggregation; formal methods for vagueness and uncertainty in a many-valued realm; graduality; preferences; uncertainty management in machine learning; philosophy and history of soft computing; soft computing and sensory analysis; similarity analysis; fuzzy logic, formal concept analysis and rough set; intelligent databases and information systems; theory of evidence; aggregation functions; big data - the role of fuzzy methods; imprecise probabilities: from foundations to applications; multinomial logistic regression on Markov chains for crop rotation modelling; intelligent measurement and control for nonlinear systems.
Author: Tingwen Huang
Publisher: Springer
Published: 2012-11-05
Total Pages: 730
ISBN-13: 364234481X
DOWNLOAD EBOOKThe five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012. The 423 regular session papers presented were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The 5 volumes represent 5 topical sections containing articles on theoretical analysis, neural modeling, algorithms, applications, as well as simulation and synthesis.
Author:
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Published: 1964
Total Pages: 388
ISBN-13:
DOWNLOAD EBOOKAuthor: United States. Department of Commerce. Office of Publications
Publisher:
Published: 1980
Total Pages: 822
ISBN-13:
DOWNLOAD EBOOKAuthor: Yue Wang
Publisher: Springer Nature
Published: 2023-02-23
Total Pages: 1257
ISBN-13: 9811999686
DOWNLOAD EBOOKThis book collects selected papers from the 10th Conference on Signal and Information Processing, Networking and Computers held in Xi’Ning, China held in July, 2022. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies and big data and other related technologies. People from both academia and industry of this field can contribute and find their interests from the book.
Author: Biao Luo
Publisher: Springer Nature
Published: 2023-11-14
Total Pages: 607
ISBN-13: 9819980828
DOWNLOAD EBOOKThe six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Author: Shuai Liu
Publisher: Springer Nature
Published: 2021-01-28
Total Pages: 491
ISBN-13: 3030678741
DOWNLOAD EBOOKThis two-volume set constitutes the post-conference proceedings of the 4th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2020, held in Binzhou, China, in September 2020. Due to COVID-19 the conference was held virtually. The 89 papers presented were selected from 190 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2020 was “Industrial applications of aspects with big data”. The papers are named in topical sections as follows: Industrial application of multi-modal information processing; Industrialized big data processing; Industrial automation and intelligent control; Visual information processing.
Author: Monica Bianchini
Publisher: Springer Science & Business Media
Published: 2013-04-12
Total Pages: 547
ISBN-13: 3642366570
DOWNLOAD EBOOKThis handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.