Brain-Machine Interface, Xilin Liu; Jan Van der Spiegel
Автор: Christoph Guger; Brendan Allison; E.C. Leuthardt Название: Brain-Computer Interface Research ISBN: 3662523914 ISBN-13(EAN): 9783662523919 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It introduces ten outstanding and innovative BCI projects, nominated as finalists for the BCI award 2012 by a jury of established researchers and discusses how each of the nominated projects reflects general worldwide trends in BCI development.
Автор: Horst-G?nter Rubahn, Helmut Sitter, Giles Horowitz Название: Interface Controlled Organic Thin Films (Springer Proceedings in Physics) ISBN: 3540959297 ISBN-13(EAN): 9783540959298 Издательство: Springer Рейтинг: Цена: 27245.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Organic semiconductors are a central topic of advanced materials research. This book includes such topics as organic molecular-based sensors; interfaces in organic diodes and transistors; integration of optoelectronic nanostructures; nonlinear optical properties of organic nanostructures; and the wetting layer problem.
Автор: Amir Zjajo Название: Brain-Machine Interface ISBN: 3319315404 ISBN-13(EAN): 9783319315409 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a complete overview of significant design challenges in respect to circuit miniaturization and power reduction of the neural recording system, along with circuit topologies, architecture trends, and (post-silicon) circuit optimization algorithms.
Автор: Sul Название: Control of Electric Machine Drive Systems ISBN: 0470590793 ISBN-13(EAN): 9780470590799 Издательство: Wiley Рейтинг: Цена: 20901.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on the author`s industry experience and collaborative works with other industries, Control of Electric Machine Drive System is packed with implemented, tested, and verified ideas that relate to everyday problems in the field.
Описание: Covers the proceedings of the 15th European PVM/MPI Users` Group Meeting held in Dublin, Ireland, in September 2008. This book contains topical sections on applications, collective operations, library internals, message passing for multi-core and mutlithreaded architectures, MPI datatypes, MPI I/O, and synchronisation issues.
Автор: Guger Christoph Название: Brain-computer-interface Research ISBN: 3642360823 ISBN-13(EAN): 9783642360824 Издательство: Springer Рейтинг: Цена: 8489.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Brain-computer interfaces (BCIs) are rapidly developing into a mainstream, worldwide research endeavor. This Brief gives a concise but carefully illustrated and fully up-to-date description of each of these projects, together with an introduction and concluding chapter by the editors.
Автор: Lempiainen, Jukka Manninen, Matti Название: Radio interface system planning for gsm/gprs/umts ISBN: 1441949143 ISBN-13(EAN): 9781441949141 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This broadly applicable book introduces radio system planning, emphasizing theoretical and practical details for the planning of GSM, GPRS and UMTS mobile networks. It explains the key planning parameters for these systems and describes the common tasks in radio system planning.
Автор: Dietmar Schroeder Название: Modelling of Interface Carrier Transport for Device Simulation ISBN: 370917368X ISBN-13(EAN): 9783709173688 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains a comprehensive review of the physics, modelling and simulation of electron transport at interfaces in semiconductor devices. It combines a review of existing interface charge transport models with original developments, and introduces a unified representation of charge transport at semiconductor interfaces.
Автор: B.E. Deal; C.R. Helms Название: The Physics and Chemistry of SiO2 and the Si-SiO2 Interface ISBN: 1489907769 ISBN-13(EAN): 9781489907769 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of a symposium of the 173rd Meeting of the Electrochemical Society held in Atlanta, Georgia, May 15-20, 1988
Автор: B.E. Deal; C.R. Helms Название: The Physics and Chemistry of SiO2 and the Si-SiO2 Interface 2 ISBN: 1489915907 ISBN-13(EAN): 9781489915900 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the Electronics and Dielectrics Science Divisions of the Electrochemical Society`s Second Symposium on the Physics and Chemistry of the SiO2 and the Si-SiO2 Interface held in St. Louis, Missouri, May 18-21, 1992
Описание: Internationally recognized experts in the field of holographic interferometric testing, X-ray testing, and structural analysis by finite element techniques have come together in ESPRIT project 898 to develop a system that integrates these techniques.
Автор: Hastie Название: Statistical Learning with Sparsity ISBN: 1498712169 ISBN-13(EAN): 9781498712163 Издательство: Taylor&Francis Рейтинг: Цена: 16843.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Discover New Methods for Dealing with High-Dimensional Data
A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underlying signal in a set of data.
Top experts in this rapidly evolving field, the authors describe the lasso for linear regression and a simple coordinate descent algorithm for its computation. They discuss the application of ℓ1 penalties to generalized linear models and support vector machines, cover generalized penalties such as the elastic net and group lasso, and review numerical methods for optimization. They also present statistical inference methods for fitted (lasso) models, including the bootstrap, Bayesian methods, and recently developed approaches. In addition, the book examines matrix decomposition, sparse multivariate analysis, graphical models, and compressed sensing. It concludes with a survey of theoretical results for the lasso.
In this age of big data, the number of features measured on a person or object can be large and might be larger than the number of observations. This book shows how the sparsity assumption allows us to tackle these problems and extract useful and reproducible patterns from big datasets. Data analysts, computer scientists, and theorists will appreciate this thorough and up-to-date treatment of sparse statistical modeling.
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