LIBROS DEL AUTOR: huan li

6 resultados para LIBROS DEL AUTOR: huan li

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  • Alternating Direction Method of Multipliers for Machine Learning
    Cong Fang / Huan Li / Zhouchen Lin
    Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly constrained ones. Written by experts in machine learning and optimization, this is...
    Disponible

    173,14 €

  • Alternating Direction Method of Multipliers for Machine Learning
    Cong Fang / Huan Li / Zhouchen Lin
    Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly constrained ones. Written by experts in machine learning and optimization, this is...
    Disponible

    171,79 €

  • Accelerated Optimization for Machine Learning
    Cong Fang / Huan Li / Zhouchen Lin
    This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by lead...
    Disponible

    195,35 €

  • Accelerated Optimization for Machine Learning
    Cong Fang / Huan Li / Zhouchen Lin
    This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by lead...
    Disponible

    48,00 €

  • Accelerated Optimization for Machine Learning
    Cong Fang / Huan Li / Zhouchen Lin
    This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by lead...
    Disponible

    194,19 €

  • Device-to-Device Communications in Cellular Networks
    Huan Tang / Li Wang
    This SpringerBrief focuses on crucial issues for device-to-device (D2D) communications within the rapidly expanding 4G LTE toward 5G system.  Several critical technical challenges in D2D communications are discussed, and D2D standardization activities in 3GPP are provided. Topics range from proximity discovery and mode selection, to resource management. The authors investigate ...
    Disponible

    67,16 €