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  • Deep Learning on Edge Computing Devices

    Design Challenges of Algorithm and Architecture

    Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and other applications by presenting neural network algorithms and hardware design optimization approaches for Edge-deep ... Read more

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  • The Elements of Joint Learning and Optimization in Operations Management

    Edited by Xi Chen, Stefanus Jasin, Cong Shi ...
    Series series Business and Management (R0)
    This book examines recent developments in Operations Management, and focuses on four major application areas: dynamic pricing, assortment optimization, supply chain and inventory management, and healthcare operations. Data-driven optimization in which real-time input of data is being used to simultaneously learn the (true) underlying model of a system and optimize its performance, is becoming ... Read more

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  • Sample Size Determination and Power

    Series series Wiley Series in Probability and Statistics
    A comprehensive approach to sample size determination and power with applications for a variety of fieldsSample Size Determination and Power features a modern introduction to the applicability of sample size determination and provides a variety of discussions on broad topics including epidemiology, microarrays, survival analysis and reliability, design of experiments, regression, and confidence ... Read more

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  • Creating Autonomous Vehicle Systems

    Series series Synthesis Lectures on Computer Science
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  • Introduction To Machine Learning In Quantitative Finance, An

    Series series Advanced Textbooks In Mathematics
    In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative ... Read more

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  • Advanced Wireless Communications and Internet

    Future Evolving Technologies

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  • Data Processing for the AHP/ANP

    Series series Business and Management (R0)
    The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank ... Read more

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  • Intelligent Systems

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    Series series Automation and Control Engineering
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  • Handbook of Computational Statistics

    Concepts and Methods

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