Автор: Kevin Murphy Название: Machine Learning ISBN: 0262018020 ISBN-13(EAN): 9780262018029 Издательство: Random House (USA) Рейтинг: Цена: 17243.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.
The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Автор: Ahmed Abdelgawad; Magdy Bayoumi Название: Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks ISBN: 1489987061 ISBN-13(EAN): 9781489987068 Издательство: Springer Рейтинг: Цена: 13677.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces resource-aware data fusion algorithms that generate inferences by combining data from multiple sources-techniques useful in centralized and distributed systems to overcome sensor failure, technological limitations, and coverage problems.
Описание: This book offers a technology-oriented assessment of analog and mixed-signal circuits in emerging high-k and multi-gate CMOS technologies. Coverage includes transient threshold voltage variations and integration of tunnel transistors in a multi-gage process.
Автор: Canelas Antуnio Manuel Lourenзo, Guilherme Jorge Manuel Correia, Horta Nuno Cavaco Gomes Название: Yield-Aware Analog IC Design and Optimization in Nanometer-Scale Technologies ISBN: 3030415384 ISBN-13(EAN): 9783030415389 Издательство: Springer Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a new methodology with reduced time impact to address the problem of analog integrated circuit (IC) yield estimation by means of Monte Carlo (MC) analysis, inside an optimization loop of a population-based algorithm.
Описание: This book presents fresh research techniques, algorithms, methodologies and experimental results for high-level power estimation and power-aware high-level synthesis. The book will help get products to market quicker and facilitate low-power ASIC/FPGA design.
Описание: This book focuses on emerging issues in power-aware portable multimedia communications devices beyond low-power electronic design. It compiles system-level power management approaches, from theoretical and simulation studies to experimental test beds related to low power computing, mobile communication and networking.
Автор: Patrick Girard; Nicola Nicolici; Xiaoqing Wen Название: Power-Aware Testing and Test Strategies for Low Power Devices ISBN: 1441909273 ISBN-13(EAN): 9781441909275 Издательство: Springer Рейтинг: Цена: 19377.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Power-aware testing methods for conventional circuits and systems are explored in this volume, while providing safe testing techniques without compromising reliability. State-of-the-art industrial practices are discusses, as well as EDA solutions.
Автор: Trent McConaghy; Pieter Palmers; Gao Peng; Michiel Название: Variation-Aware Analog Structural Synthesis ISBN: 9400726082 ISBN-13(EAN): 9789400726086 Издательство: Springer Рейтинг: Цена: 20516.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes computational intelligence-based tools for robust design of analog circuits. It starts with global variation-aware sizing and knowledge extraction and progressively extends to variation-aware topology design.
Автор: Canelas Antуnio Manuel Lourenзo, Guilherme Jorge Manuel Correia, Horta Nuno Cavaco Gomes Название: Yield-Aware Analog IC Design and Optimization in Nanometer-Scale Technologies ISBN: 303041535X ISBN-13(EAN): 9783030415358 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a new methodology with reduced time impact to address the problem of analog integrated circuit (IC) yield estimation by means of Monte Carlo (MC) analysis, inside an optimization loop of a population-based algorithm.
Автор: Patrick Girard; Nicola Nicolici; Xiaoqing Wen Название: Power-Aware Testing and Test Strategies for Low Power Devices ISBN: 1489983139 ISBN-13(EAN): 9781489983138 Издательство: Springer Рейтинг: Цена: 17096.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Power-aware testing methods for conventional circuits and systems are explored in this volume, while providing safe testing techniques without compromising reliability. State-of-the-art industrial practices are discusses, as well as EDA solutions.
Описание: This book focuses on how real-time task schedules for reconfigurable hardware-based embedded platforms may be affected due to the vulnerability of hardware and proposes self-aware security strategies to counteract the various threats. However, such real-time task schedules may be jeopardized due to hardware threats.
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