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Hardware-Aware Probabilistic Machine Learning Models, Galindez Olascoaga


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Цена: 8384.00р.
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При оформлении заказа до: 2025-09-29
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Автор: Galindez Olascoaga
Название:  Hardware-Aware Probabilistic Machine Learning Models
ISBN: 9783030740443
Издательство: Springer
Классификация:



ISBN-10: 3030740447
Обложка/Формат: Soft cover
Страницы: 163
Вес: 0.28 кг.
Дата издания: 04.06.2022
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 51 illustrations, black and white; xii, 163 p. 51 illus.; 51 illustrations, black and white; xii, 163 p. 51 illus.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Learning, Inference and Use Cases
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them.


Machine Learning

Автор: Kevin Murphy
Название: Machine Learning
ISBN: 0262018020 ISBN-13(EAN): 9780262018029
Издательство: MIT Press
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Цена: 18622.00 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.

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

Автор: Ahmed Abdelgawad; Magdy Bayoumi
Название: Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
ISBN: 1489987061 ISBN-13(EAN): 9781489987068
Издательство: Springer
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Цена: 15672.00 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.

Variation Aware Analog and Mixed-Signal Circuit Design in Emerging Multi-Gate CMOS Technologies

Автор: Michael Fulde
Название: Variation Aware Analog and Mixed-Signal Circuit Design in Emerging Multi-Gate CMOS Technologies
ISBN: 9048132797 ISBN-13(EAN): 9789048132799
Издательство: Springer
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Цена: 19591.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Yield-Aware Analog IC Design and Optimization in Nanometer-Scale Technologies

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: 13974.00 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.

Low Power Design with High-Level Power Estimation and Power-Aware Synthesis

Автор: Sumit Ahuja; Avinash Lakshminarayana; Sandeep Kuma
Название: Low Power Design with High-Level Power Estimation and Power-Aware Synthesis
ISBN: 1489987800 ISBN-13(EAN): 9781489987808
Издательство: Springer
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Цена: 15672.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

System-Level Power Optimization for Wireless Multimedia Communication

Автор: Ramesh Karri; David J. Goodman
Название: System-Level Power Optimization for Wireless Multimedia Communication
ISBN: 1475776225 ISBN-13(EAN): 9781475776225
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Power-Aware Testing and Test Strategies for Low Power Devices

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
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Цена: 22203.00 р.
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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.

Low-Power Design and Power-Aware Verification

Автор: Progyna Khondkar
Название: Low-Power Design and Power-Aware Verification
ISBN: 3319882864 ISBN-13(EAN): 9783319882864
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Нет в наличии.

Описание: Until now, there has been a lack of a complete knowledge base to fully comprehend Low power (LP) design and power aware (PA) verification techniques and methodologies and deploy them all together in a real design verification and implementation project. This book is a first approach to establishing a comprehensive PA knowledge base.LP design, PA verification, and Unified Power Format (UPF) or IEEE-1801 power format standards are no longer special features. These technologies and methodologies are now part of industry-standard design, verification, and implementation flows (DVIF). Almost every chip design today incorporates some kind of low power technique either through power management on chip, by dividing the design into different voltage areas and controlling the voltages, through PA dynamic and PA static verification, or their combination.The entire LP design and PA verification process involves thousands of techniques, tools, and methodologies, employed from the register transfer level (RTL) of design abstraction down to the synthesis or place-and-route levels of physical design. These techniques, tools, and methodologies are evolving everyday through the progression of design-verification complexity and more intelligent ways of handling that complexity by engineers, researchers, and corporate engineering policy makers. 

Variation-Aware Analog Structural Synthesis

Автор: Trent McConaghy; Pieter Palmers; Gao Peng; Michiel
Название: Variation-Aware Analog Structural Synthesis
ISBN: 9400726082 ISBN-13(EAN): 9789400726086
Издательство: Springer
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Цена: 23508.00 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.

Yield-Aware Analog IC Design and Optimization in Nanometer-Scale Technologies

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: 13974.00 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.

Power-Aware Testing and Test Strategies for Low Power Devices

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: 19589.00 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.

Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases

Автор: Galindez Olascoaga Laura Isabel, Meert Wannes, Verhelst Marian
Название: Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases
ISBN: 3030740412 ISBN-13(EAN): 9783030740412
Издательство: Springer
Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them.


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