This book is a fascinating window on the evolution of teaching and learning paradigms in intelligent environments. The three ...
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The material in this book is designed to be drawn from different Web application areas so as to provide an overview of important ...
Continue readingThis book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain ...
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This book is loaded with examples in which computer scientists and engineers have used evolutionary computation—programs ...
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The feld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery ...
Continue readingThis book gives a good introduction to evolutionary computation for those who are first entering the field and are looking ...
Continue readingEvolutionary scheduling is a vital research domain at the interface of two important sciences - artificial intelligence and ...
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In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots ...
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This book constitutes the refereed proceedings of the 8th International Conference on Evolvable Systems, ICES 2008, held ...
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Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models ...
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Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models ...
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This book combines for the first time the different experimental models for MS (including immune-mediated and viral) under ...
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The goal of ISER is to provide a forum for research in robotics that focuses on novelty of theoretical contributions validated ...
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Covers a wide range of topics in the areas of vibration testing, instrumentation, and analysis of civil engineering and critical ...
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Features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM ...
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This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems ...
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Offers a curriculum for introducing interpretability to machine learning at every stage. The authors provide compelling examples ...
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Problems linking the shape of a domain or the coefficients of an elliptic operator to the sequence of its eigenvalues are ...
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Problems linking the shape of a domain or the coefficients of an elliptic operator to the sequence of its eigenvalues are ...
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During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, ...
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