 
                This book constitutes the refereed proceedings of the 11th European Conference on Logics in Artificial Intelligence, JELIA ...
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                This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent ...
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                Constitutes the refereed proceedings of the 4th Mexican International Conference on Artificial Intelligence, MICAI 2005, ...
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                This volume contains the papers presented during the oral session of the 5 Mexican International Conference on Artificial ...
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                The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized ...
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                The 96 revised full papers presented together with 2 invited lectures were carefully reviewed and selected from 363 submissions. ...
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                This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, ...
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                Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate ...
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                Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
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                Presents the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, ...
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                Discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic ...
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                Covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ...
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                This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
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                Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: ...
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                Provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. ...
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                Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all ...
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                covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud ...
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                This book provides a comprehensive coverage of the most important machine learning techniques used and their application ...
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                This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted ...
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                Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative ...
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