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Tensor Networks for Dimensionality Reduction and Large-scale Optimization

emerging tools for dimensionality reduction and large scale optimization. This monograph provides a systematic and example-rich guide to the basic;

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Manifold Learning Theory and Applications

includes discussions on the relevance to nonlinear dimensionality reduction, clustering, graph-based subspace learning, spectral learning and;

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Reduced Order Methods for Modeling and Computational Reduction

This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized;

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Optimization, Learning, and Control for Interdependent Complex Networks

This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role;

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Compressive Sensing For Wireless Networks

links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and;

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Multilinear Subspace Learning

Reduction of Multidimensional Data gives a comprehensive introduction to both theoretical and practical aspects of MSL for the dimensionality;

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Regularization, Optimization, Kernels, and Support Vector Machines

-negative matrix factorization Examines low-rank matrix and tensor-based models Presents advanced kernel methods for batch and online machine;

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Regularization, Optimization, Kernels, and Support Vector Machines

, Optimization, Kernels, and Support Vector Machines is ideal for researchers in machine learning, pattern recognition, data mining, signal processing;

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and;

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Machine Learning and Knowledge Discovery in Databases

: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and;

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Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and;

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Machine Learning and Knowledge Discovery in Databases

: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and;

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Machine Learning and Knowledge Discovery in Databases

: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and;

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Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Par

in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality;

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Large Scale Distributed Syst & Energ

for energy consumption reduction in diverse computing environments Features a variety of case studies and examples of energy reduction and;

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Distributed Optimization Advances in Theories Methods and Applications

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students;

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Distributed Optimization Advances in Theories Methods and Applications

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students;

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Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Par

in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality;

Vergelijkbare producten zoals Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Par

Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems

, is solved by using methodologies in distributed optimization over time-varying networks, together with distributed model predictive control, and;

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IUTAM Symposium on Model Order Reduction of Coupled Systems Stuttgart Germany

-25, 2018. For the understanding and development of complex technical systems, such as the human body or mechatronic systems, an;

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Fundamentals of Data Analytics

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail;

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Fundamentals of Data Analytics

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail;

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Advances in Swarm Intelligence

of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their;

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Advances in Swarm Intelligence

of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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5G Networks

5G Networks: Planning, Design and Optimization presents practical methods and algorithms for the design of 5G Networks, covering issues;

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