Résultats de la recherche - "generative model"

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    Advanced Macroeconomics An Easy Guide par Campante, Filipe, Sturzenegger, Federico, Velasco, Andrés

    Publié 2021
    Table des matières: “…Introduction -- Part 1: Growth Theory -- Growth theory preliminaries -- The neoclassical growth model -- An application: The small open economy -- Endogenous growth models I: Escaping diminishing returns -- Endogenous growth models II: Technological change -- Proximate and fundamental causes of growth -- Part 2: Overlapping Generations Models -- Overlapping generations models -- An application: Pension systems and transitions -- Unified growth theory -- Part 3: Consumption and Investment -- Consumption -- Consumption under uncertainty and macro finance -- Investment -- Part 4: Short Term Fluctuations -- Real business cycles -- (New) Keynesian theories of fluctuations: A primer -- Unemployment -- Part 5: Monetary and Fiscal Policy -- Fiscal policy I: Public debt and the effectiveness of fiscal policy -- Fiscal policy II: The long-run determinants of fiscal policy -- Monetary policy: An introduction -- Rules vs Discretion -- Recent debates in monetary policy -- New developments in monetary and fiscal policy -- Appendix A: Very brief mathematical appendix -- Appendix B: Simulating an RBC model -- Appendix C: Simulating a DSGE model…”
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  9. 49

    Machine Learning for Brain Disorders

    Publié 2023
    Table des matières: “…A Non-Technical Introduction to Machine Learning -- Classic Machine Learning Methods -- Deep Learning: Basics and Convolutional Neural Networks (CNN) -- Recurrent Neural Networks (RNN) - Architectures, Training Tricks, and Introduction to Influential Research -- Generative Adversarial Networks and Other Generative Models -- Transformers and Visual Transformers -- Clinical Assessment of Brain Disorders -- Neuroimaging in Machine Learning for Brain Disorders -- Electroencephalography and Magnetoencephalography -- Working with Omics Data, An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science -- Electronic Health Records as Source of Research Data -- Mobile Devices, Connected Objects, and Sensors -- Medical Image Segmentation using Deep Learning -- Image Registration: Fundamentals and Recent Advances Based on Deep Learning -- Computer-Aided Diagnosis and Prediction in Brain Disorders -- Subtyping Brain Diseases from Imaging Data -- Data-Driven Disease Progression Modelling -- Computational Pathology for Brain Disorders -- Integration of Multimodal Data -- Evaluating Machine Learning Models and their Diagnostic Value -- Reproducibility in Machine Learning for Medical Imaging -- Interpretability of Machine Learning Methods Applied to Neuroimaging -- A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging -- Main Existing Datasets for Open Brain Research on Humans -- Machine Learning for Alzheimer's Disease and Related Dementias -- Machine Learning for Parkinson's Disease and Related Disorders -- Machine Learning in Neuroimaging of Epilepsy -- Machine Learning in Multiple Sclerosis -- Machine Learning for Cerebrovascular Disorders -- The Role of Artificial Intelligence in Neuro-Oncology Imaging -- Machine Learning for Neurodevelopmental Disorders -- Machine Learning and BrainImaging for Psychiatric Disorders: New Perspectives.…”
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    Particle Physics

    Publié 2012
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