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Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics

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Deep Learning through Sparse and Low-Rank Modeling

Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models-those that emphasize problem;

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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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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Low Rank and Sparse Modeling for Visual Analysis

This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding;

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Applications of the Topological Derivative Method

algorithm and its applications in topology optimization, and introduces the second order Newton-type reconstruction algorithm based on higher order;

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Computational Models of Brain and Behavior

methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models;

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Reviews in Computational Chemistry

The Reviews in Computational Chemistry series brings together leading authorities in the field to teach the newcomer and update the expert;

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Computational Trust Models and Machine Learning

Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various;

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Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation;

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Machine Learning and Systems Engineering

, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Machine Learning and;

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Lecture Notes in Computational Intelligence and Decision Making

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the;

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Lecture Notes in Computational Intelligence and Decision Making

, machine learning and decision-making. The international scientific conference Intellectual Systems of Decision-Making and Problems;

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Information Theory, Inference and Learning Algorithms

- communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The;

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Optimization for Machine Learning

communities. The interplay between optimization and machine learning is one of the most important developments in modern computational science;

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Low-Rank Models in Visual Analysis

Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their;

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Developments in Medical Image Processing and Computational Vision

This book presents novel and advanced topics in Medical Image Processing and Computational Vision in order to solidify knowledge in the;

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Hybrid Machine Intelligence for Medical Image Analysis

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces;

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Logic for Learning

This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those;

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Logic for Learning

This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those;

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Handbook of Robust Low-Rank and Sparse Matrix Decomposition

learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications;

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Advances in Computational Collective Intelligence

intelligence; natural language processing; low resource languages processing; computational collective intelligence and natural language processing.;

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High Performance Computing

Performance Tile Low-Rank LU Factorization , Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology;

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Machine Learning in Finance

computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for;

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Machine Learning in Finance

computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for;

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Deep Learning in Computational Mechanics

This book provides a first course on deep learning in computational mechanics. The book starts with a short introduction to machine;

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