Advanced Analysis and Learning on Temporal Data, Douzal-Chouakria
Автор: Gabriele Puppis Название: Automata for Branching and Layered Temporal Structures ISBN: 3642118801 ISBN-13(EAN): 9783642118807 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Since 2002, FoLLI awards an annual prize for an outstanding dissertation in the fields of Logic, Language, and Information. This book focuses on Logic and Computation and, more specifically, on automata-based decidability techniques for time granularity and on a fresh method for deciding Monadic Second Order theories of trees.
Автор: Yang Yun Название: Temporal Data Mining via Unsupervised Ensemble Learning ISBN: 0128116544 ISBN-13(EAN): 9780128116548 Издательство: Elsevier Science Рейтинг: Цена: 7241.00 р. Наличие на складе: Поставка под заказ.
Описание: Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental knowledge and techniques, along with a rich blend of theory and practice. . Furthermore, the book includes illustrations of the proposed approaches based on data and simulation experiments to demonstrate all methodologies, and is a guide to the proper usage of these methods. As there is nothing universal that can solve all problems, it is important to understand the characteristics of both clustering algorithms and the target temporal data so the correct approach can be selected for a given clustering problem. . Scientists, researchers, and data analysts working with machine learning and data mining will benefit from this innovative book, as will undergraduate and graduate students following courses in computer science, engineering, and statistics.
Автор: Liang Wang; Guoying Zhao; Li Cheng; Matti Pietik?i Название: Machine Learning for Vision-Based Motion Analysis ISBN: 1447126076 ISBN-13(EAN): 9781447126072 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on contributions to the International Workshop on Machine Learning for Vision-Based Motion Analysis, this volume highlights the latest algorithms and systems for robust and effective vision-based motion understanding.
Описание: This volume collects significant results of the research Project called "SPARK". Its aim was to develop new cognitive architectures and sensing-perceiving-moving artefacts, inspired by the basic principles of living systems and based on "self-organization".
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