503 hasil untuk machine learning
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Bab Buku Teks lengkap
Chapter Supporting decision-makers in healthcare domain. A comparative study of two interpretative proposals for Random Forests
The growing success of Machine Learning (ML) is making significant improvements to predictive models, facilitating their integration in various application fields, especially the healthcare context. However, it still has limitations and drawbacks, such as the lack of interpretability which does not…
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Bab Buku Teks lengkap
Chapter Given N forecasting models, what to do?
…Smoothing family to ARIMA-like models, to their hybridization, to machine learning and neural network engines. Model combinations through various ensemble techniques are also considered. Once the observational period is split between the training and test set, the estimated forecasting models are…
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Instrumentation And Techniques In High Energy Physics
…detectors, particle jet identification, noble gas neutrino detectors, and machine learning. The target audience is graduate students and more senior researchers who wish to learn a new technology or technique.The text pedagogical in nature and each chapter is a standalone treatment of a specific…
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Pandemics: Insurance and Social Protection
This open access book collects expert contributions on actuarial modelling and related topics, from machine learning to legal aspects, and reflects on possible insurance designs during an epidemic/pandemic. Starting by considering the impulse given by COVID-19 to the insurance industry and to…
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Medieval Manuscripts and the Computational Humanities
…dating, and contextualizing manuscripts. We argue that bringing machine learning and artificial intelligence to medieval studies not only requires re-centring expert human intelligence within computational systems, but also raises the question of the infrastructures needed for equitable…
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Data Privacy and Crowdsourcing
…especially with the increasingly important role of raw data in machine learning and artificial intelligence. Professor Mingfeng Lin, Georgia Institute of Technology
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Industry 4.0
…of industrial digital transformation. Covering key themes such as machine learning, predictive maintenance, cyber-physical systems, digital twins, advanced wireless communication, optical metrology, smart manufacturing, production planning, lean manufacturing, and industrial logistics, this volume…
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Museum Digitisations and Emerging Curatorial Agencies Online
…forums and the consequences of search engines, personalisation, and machine learning on American-based online platforms. Furthermore, it considers eco-systemic processes comprising computation, rare-earth minerals, electrical currents and data centres and cables as novel forms of curatorial…
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Tools and Algorithms for the Construction and Analysis of Systems
…proving; verification and analysis; model checking; tool demo; and machine learning. Part II: concurrent and distributed systems; monitoring and runtime verification; hybrid and stochastic systems; synthesis; symbolic verification; and safety and fault-tolerant systems.
Juga tersedia di: OAPEN
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Human Activity Recognition in Daily Life and Sports Using Inertial Sensors
…this thesis, algorithms for HAR are introduced and evaluated which apply machine learning techniques to inertial sensor data. Daily as well as sport-specific activities are considered including sitting, washing dishes, climbing stairs, and kicking in soccer. Besides the development and…
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The Democratization of Artificial Intelligence
…it mean to critically investigate efforts of net politics in the age of machine learning algorithms?
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Metric Algebraic Geometry
…and statistics. These include minimizing Wasserstein distances in machine learning, maximum likelihood estimation, computing curvature, or minimizing the Euclidean distance to a variety. This book addresses a wide audience of researchers and students and can be used for a one-semester course at the…
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Mechanical Design and Simulation: Exploring Innovations for the Future
…to revolutionize the field. From integrating artificial intelligence and machine learning for design optimization to leveraging the latest in finite element analysis for enhanced stress modelling, the proceedings highlight the pivotal role of simulation in pushing the boundaries of what is possible…
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Handbook of Digital Face Manipulation and Detection
…easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.
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GeoVadis
…underground construction. It also delves into artificial intelligence and machine learning applications, environmental and transportation geotechnics, site characterisation, slope stability, embankments and dams, and ground improvement techniques. It is intended for academics, practising engineers…
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Computational Physiology
…include multiscale mechanics, electrophysiology, pharmacology, and machine learning. This is an open access book.
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Scalable Data Management for Future Hardware
…hardware developments, often related to applications in data analytics or machine learning. They cover topics such as hardware-accelerated query or event processing on FPGA, GPU, and multicore CPUs, scalable data management in data center networks or on modern memory and storage technologies, and…
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Buku Teks lengkap
GeoVadis
…underground construction. It also delves into artificial intelligence and machine learning applications, environmental and transportation geotechnics, site characterisation, slope stability, embankments and dams, and ground improvement techniques. It is intended for academics, practising engineers…
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Buku Teks lengkap
GeoVadis
…underground construction. It also delves into artificial intelligence and machine learning applications, environmental and transportation geotechnics, site characterisation, slope stability, embankments and dams, and ground improvement techniques. It is intended for academics, practising engineers…