Der er 9 underkategorier
Machine learning
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Proceedings of ELM 2021: Theory, Algorithms and Applications (Bog, Hardback, Engelsk)
ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons,... Læs mere
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Recommender Systems in Fashion and Retail: Proceedings of the Fourth Workshop at the Recommender Systems Conference (2022) (Bog, Hardback, Engelsk)Levering: Skaffevare (forvent 14 - 30 hverdage)
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Ontology of Communication: Agent-Based Data-Driven or Sign-Based Substitution-Driven? (Bog, Hardback, Engelsk)Levering: Skaffevare (forvent 14 - 30 hverdage)
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Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning (Bog, Hardback, Engelsk)Levering: Skaffevare (forvent 14 - 30 hverdage)
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Machine Learning and Flow Assurance in Oil and Gas Production (Bog, Hardback, Engelsk)
This book is useful to flow assurance engineers, students, and industries who wish to be flow assurance authorities in the... Læs mere
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Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies: 19th IFIP WG 5.1 International Conference, PLM 2022, Grenoble, France, July 10–13, 2022, Revised Selected Papers (Bog, Hardback, Engelsk)Levering: Skaffevare (forvent 14 - 30 hverdage)
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Metaheuristics for Machine Learning: New Advances and Tools (Bog, Hardback, Engelsk)
Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems.
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Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide (Bog, Hardback, Engelsk)
This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods.
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Deep Learning Technologies for the Sustainable Development Goals: Issues and Solutions in the Post-COVID Era (Bog, Hardback, Engelsk)
This book provides insights into deep learning techniques that impact the implementation strategies toward achieving the Sustainable Development Goals (SDGs) laid down by the United Nations for its 2030 agenda, elaborating on the promises, limits, and the new challenges.
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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications (Bog, Hardback, Engelsk)
This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications.
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Genetic Programming Theory and Practice XIX (Bog, Hardback, Engelsk)
This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm.
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Application of Machine Learning Models in Agricultural and Meteorological Sciences (Bog, Hardback, Engelsk)
The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this book's advanced models. The book explains how modelers use evolutionary algorithms to develop machine learning models.
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