书目名称 | Discovering Hidden Temporal Patterns in Behavior and Interaction | 副标题 | T-Pattern Detection | 编辑 | Magnus S. Magnusson,Judee K. Burgoon,Maurizio Casa | 视频video | | 概述 | Each chapter describes a different research application of T-Pattern Detection and Analysis with THEME (TM).Includes contributions from members of the.Methodology for the Analysis of Social Interactio | 丛书名称 | Neuromethods | 图书封面 |  | 描述 | Discovering hidden recurring patterns in observable behavioral processes is an important issue frequently faced by numerous advanced students and researchers across many research areas, including psychology, biology, sports, robotics, media, finance, and medicine. As generally, themany powerful methods included in statistical software packages were not developed for this kind of analysis, discovering such patterns has proven a particularly difficult task, due to a lack of a) adequate formalized models of the kinds of patterns to look for, b) corresponding detection algorithms and c) their implementation in available software. The research described in this book is based on the application of such pattern types, algorithms and software developed from the late seventies to the present in the context of research in collaboration with human and animal behavioral research teams at internationally leading universities in the US and Europe, thus testing the usefulness and validity of the pattern types, algorithms and software in numerous research areas. With the (scale independent statistical hierarchical and fractal-like) T-Pattern at its heart, a set of proposed pattern types, called th | 出版日期 | Book 2016 | 关键词 | THEME (TM); behavior; computational neuroscience; t-pattern analysis; temporal pattern | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4939-3249-8 | isbn_softcover | 978-1-4939-8005-5 | isbn_ebook | 978-1-4939-3249-8Series ISSN 0893-2336 Series E-ISSN 1940-6045 | issn_series | 0893-2336 | copyright | Springer Science+Business Media New York 2016 |
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