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Selling the American People
出版 2023“...How marketers learned to dream of optimization and speak in the idiom of management science well before the widespread use of the Internet.Algorithms, data extraction, digital marketers monetizing "eyeballs": these all seem like such recent features of our lives. ...”
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Energy Efficiency and Robustness of Advanced Machine Learning Architectures
出版 2025“...More specifically, this book improves the energy efficiency of complex models like CapsNets, through a specialized flow of hardware-level designs and software-level optimizations exploiting the application-driven knowledge of these systems and the error tolerance through approximations and quantization. ...”
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Sampling-based Tolerance-Cost Optimization: The Key to Optimal Tolerance Allocation
出版 2025“...The method of sampling-based tolerance-cost optimization, a combination of statistical tolerance analysis based on sampling techniques and metaheuristic optimization algorithms, enables an automated and optimal allocation of tolerance values and, thus, solves the conflict of objectives between costs and quality. ...”
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Metaheuristic Algorithms in Optimal Design of Engineering Problems
出版 2026“...They operate by iteratively searching the solution space, employing strategies inspired by natural or physical processes to balance exploration and exploitation. Common examples include genetic algorithms, particle swarm optimization, simulated annealing, and ant colony optimization. ...”
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Intel Xeon Phi Coprocessor Architecture and Tools: The Guide for Application Developers
出版 2021“...It also examines the source code-level optimizations that can be performed to exploit the powerful features of the processor. ...”
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Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities
出版 2021主題: “...Grey Wolf Optimizer...”
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Metalearning
出版 2022“...This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. ...”
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