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Distributed Optimization Game and Learning Algorithms

This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly;

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Distributed Optimization Game and Learning Algorithms

This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly;

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Distributed Machine Learning and Gradient Optimization

This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the;

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Distributed Optimization Advances in Theories Methods and Applications

of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed.;

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Distributed Optimization Advances in Theories Methods and Applications

of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed.;

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Computing and Combinatorics

information visualization; graph theory, communication networks, and optimization; parallel and distributed computing.;

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First-order and Stochastic Optimization Methods for Machine Learning

algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the;

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First-order and Stochastic Optimization Methods for Machine Learning

algorithms, nonconvex optimization, distributed and online learning, and projection free methods. This book will benefit the broad audience in the;

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Computing and Combinatorics

visualization; graph theory, communication networks, optimization and parallel and distributed computing.;

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Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments

This book offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi;

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Alternating Direction Method of Multipliers for Machine Learning

linearly constrained ones. Written by experts in machine learning and optimization, this is the first book providing a state-of-the-art review on;

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Machine Learning for Networking

learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new;

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Accelerated Optimization for Machine Learning

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on;

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Accelerated Optimization for Machine Learning

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on;

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Frontiers in Algorithmics and Algorithmic Aspects in Information and Management

networks and optimization, computational learning theory, knowledge discovery, and data mining, experimental algorithmic methodologies;

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Intelligent Distributed Computing XIII

Learning, Multi-agent and Service-Based Distributed Systems, Distributed Algorithms and Optimization, Modeling Operational Processes, Social;

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Machine Learning for Networking: First International Conference, Mln 2018, Paris, France, November 27-29, 2018, Revised Selected Papers

for networks; Machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection;

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Nested algorithms for optimal reservoir operation and their embedding in a decision support platform

for water resources modeling and optimization. The platform is available 24/7, accessible from everywhere, scalable, distributed;

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Nested Algorithms for Optimal Reservoir Operation and Their Embedding in a Decision Support Platform

for water resources modeling and optimization. The platform is available 24/7, accessible from everywhere, scalable, distributed;

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Machine Learning for Networking

learning for network slicingoptimization, 5G system, user behavior prediction, multimedia, IoT, securityand protection, optimization and new;

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Interdisciplinary Approaches to Adaptive Learning: A Look at the Neighbours

educational technology with special emphasis on topics such as distributed decision support, agent based systems, heuristic optimization, heuristics;

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LATIN 2018: Theoretical Informatics

, combinatorial algorithms, combinatorial optimization, combinatorics and graph theory, complexity theory, computational algebra, computational biology;

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Data-Driven Evolutionary Optimization

Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning;

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Algorithms - ESA 2005

, external memory algorithms, graph algorithms, graph drawing, machine learning, mobile computing, pattern matching and data compression, quantum;

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Convex Optimization In Signal Processing And Communications

experts, sets out the theoretical underpinnings of the subject and provides tutorials on a wide range of convex optimization applications;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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