Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Ebstein Richard P., Shamay-Tsoory Simeone, Chew So Название: From DNA to Social Cognition ISBN: 0470543965 ISBN-13(EAN): 9780470543962 Издательство: Wiley Рейтинг: Цена: 21376.00 р. Наличие на складе: Поставка под заказ.
Описание: Decision-making is an integral part of our daily lives. Researchers seek a complete understanding of the decision-making process, including the biological and social basis and the impact of our decisions.
Автор: Sarah E. Gergel; Monica G. Turner Название: Learning Landscape Ecology ISBN: 1493963724 ISBN-13(EAN): 9781493963720 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This title meets a great demand for training in spatial analysis tools accessible to a wide audience. Landscape ecology continues to grow as an exciting discipline with much to offer for solving pressing and emerging problems in environmental science. Much of the strength of landscape ecology lies in its ability to address challenges over large areas, over spatial and temporal scales at which decision-making often occurs. As the world tackles issues related to sustainability and global change, the need for this broad perspective has only increased. Furthermore, spatial data and spatial analysis (core methods in landscape ecology) are critical for analyzing land-cover changes world-wide. While spatial dynamics have long been fundamental to terrestrial conservation strategies, land management and reserve design, mapping and spatial themes are increasingly recognized as important for ecosystem management in aquatic, coastal and marine systems. This second edition is purposefully more applied and international in its examples, approaches, perspectives and contributors. It includes new advances in quantifying landscape structure and connectivity (such as graph theory), as well as labs that incorporate the latest scientific understanding of ecosystem services, resilience, social-ecological landscapes, and even seascapes. Of course, as before, the exercises emphasize easy-to-use, widely available software. http: //sarahgergel.net/lel/learning-landscape-ecology/
Автор: Shi Yu; L?on-Charles Tranchevent; Bart Moor; Yves Название: Kernel-based Data Fusion for Machine Learning ISBN: 3642267513 ISBN-13(EAN): 9783642267512 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data fusion problems arise in many different fields. This book provides a specific introduction to solve data fusion problems using support vector machines. The reader will require a good knowledge of data mining, machine learning and linear algebra.
Автор: Edited by Hilary O. Box Название: Mammalian Social Learning ISBN: 0521031958 ISBN-13(EAN): 9780521031950 Издательство: Cambridge Academ Рейтинг: Цена: 9979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Social learning is the transfer of information and skill among individuals. From learning what to eat, how to respond to predators and how to interact with members of their own social group, this phenomenon is discussed using examples from a wide range of mammals.
Автор: Nehaniv Название: Imitation and Social Learning in Robots, Humans and Animals ISBN: 0521108632 ISBN-13(EAN): 9780521108638 Издательство: Cambridge Academ Рейтинг: Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book studies models and mechanisms of social matching behaviour and marks an important step towards the development of an interdisciplinary research field, consolidating and providing a valuable reference for the increasing number of researchers in the field of imitation and social learning in robots, humans and animals.
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