Tag: Quantification

September 16, 2024

Cantonese Particles and Affixal Quantification

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Free Download Cantonese Particles and Affixal Quantification By Peppina Po-lun Lee (auth.)
2012 | 254 Pages | ISBN: 9400743866 | PDF | 2 MB
Cantonese, the lingua franca of Hong Kong and its neighboring province, has an unusually rich repertoire of verbal particles. This volume significantly augments the academic literature on their semantics, focusing on three affixal quantifiers, -saai, -hoi and -maai. The author shows how these verbal suffixes display a unique interplay of syntax and semantics: used in a sentence with no focus, they quantify items flexibly, according to an accessibility hierarchy; with focus, focus comes into effect after syntactic selection. This fresh and compelling perspective in the study of particles and quantification is the first in-depth analysis of Cantonese verbal suffixes. It compares the language’s affixal quantification to the alternative determiner and adverbial quantifiers. The book’s syntax-semantics mapping geography deploys both descriptive and theoretical approaches, making it an essential resource for researchers studying the nexus of syntax and semantics, as well as Cantonese itself.

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September 15, 2024

Big Data Quantification for Complex Decision-Making

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Free Download Big Data Quantification for Complex Decision-Making by Chao Zhang, Wentao Li
English | April 16, 2024 | ISBN: 8369363911 | 336 pages | EPUB | 22 Mb
Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book’s core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains.

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September 9, 2024

Model Validation and Uncertainty Quantification, Volume 3

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Free Download Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018 by Robert Barthorpe
English | PDF,EPUB | 2018 (2019 Edition) | 303 Pages | ISBN : 3319747924 | 122.6 MB
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics, 2018, the third volume of nine from the Conference brings together contributions to this important area of research and engineering.

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