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Chapter 38 Learning Analytics Approaches and cases from Asia
In this chapter, we present an overview of the field by articulating definitions and existing models of learning analytics. Case examples of learning analytics from Asian researchers are then summarized and reported. This is followed by an exploration of the key tensions in this field. The chapter concludes with a discussion of potential areas for future research in this area.
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- 9781315694382
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“Humanized” Large Animal Cancer Models: Accelerating Time and Effectivene…
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researcher…
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- 9782889632497
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Real-time Linked Dataspaces : Enabling Data Ecosystems for Intelligent Systems
This open access book explores the dataspace paradigm as a best-effort approach to data management within data ecosystems. It establishes the theoretical foundations and principles of real-time linked dataspaces as a data platform for intelligent systems. The book introduces a set of specialized best-effort techniques and models to enable loose administrative proximity and semantic integration …
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- 1
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- 9783030296650
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- XXIII, 325 hlm; ill., lamp.,
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Brain and Human Body Modeling 2020: Computational Human Models Presented at E…
This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest models and techn…
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Generalized Linear Mixed Models with Applications in Agriculture and Biology
This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the a…
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- 978-3-031-32800-8
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Empirical Methods for Exploiting Parallel Texts
Revision of the author's thesis.Parallel texts (bitexts) are a goldmine of linguistic knowledge, because the translation of a text into another language can be viewed as a detailed annotation of what that text means. Knowledge about translational equivalence, which can be gleaned from bitexts, is of central importance for applications such as manual and machine translation, cross-language infor…
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- 9780262279642
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- 1 online resource (x, 195 pages) :illustrations
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The human semantic potential : spatial language and constrained connectionism
"A Bradford book.""Drawing on ideas from cognitive linguistics, connectionism, and perception, The Human Semantic Potential describes a connectionist model that learns perceptually grounded semantics for natural language in spatial terms. Languages differ in the ways in which they structure space, and Regier's aim is to have the model perform its learning task for terms from any natural languag…
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- 0585032610
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- 1 online resource (xiv, 220 pages).
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- 100 REG h
Practical applications of sparse modeling
"Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling, focusing on its applications in fields including neuroscience, computational biology, and comput…
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- 9780262325325
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- 1 online resource (xii, 249 pages).
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The architectural model :histories of the miniature and the prototype, the ex…
OCLC-licensed vendor bibliographic record.
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- 9780262354233
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- 1 online resource (344 pages).
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Log-Linear Models, Extensions, and Applications
Log-linear models play a key role in modern big data and machine learning applications. From simple binary classification models through partition functions, conditional random fields, and neural nets, log-linear structure is closely related to performance in certain applications and influences fitting techniques used to train models. This volume covers recent advances in training models with l…
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- 9780262351607
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- 1 online resource (214 pages).
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