„supervised learning“
Suchergebnisse
2.377 Treffer
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Performance analysis of supervised machine learning algorithms for automatized radiographical classification of maxillary third molar impaction
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Combined Artificial Intelligence Approaches Analyzing 1000 Conservative Patients with Back Pain—A Methodological Pathway to Predicting Treatment Efficacy and Diagnostic Groups
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Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
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Selection of Key Frames for 3D Reconstruction in Real Time
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Supervised machine learning approach to molecular dynamics forecast of SARS-CoV-2 spike glycoproteins at varying temperatures
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Classification of breast cancer histopathology images using a modified supervised contrastive learning method
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DIMOND: DIffusion Model OptimizatioN with Deep Learning
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Self-Supervised Learning for Semantic Segmentation of Archaeological Monuments in DTMs
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Dental caries detection using a semi-supervised learning approach
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Identifying schizophrenia stigma on Twitter: a proof of principle model using service user supervised machine learning
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A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations
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Quality monitoring of projection welding using machine learning with small data sets
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An active semi-supervised deep learning model for human activity recognition
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An enhanced graph-based semi-supervised learning algorithm to detect fake users on Twitter
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Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes
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Multi-scale motion contrastive learning for self-supervised skeleton-based action recognition
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Supervised Machine Learning to Assess Methane Emissions of a Dairy Building with Natural Ventilation
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High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approach
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A human motion feature based on semi-supervised learning of GMM
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Self-supervised learning framework application for medical image analysis: a review and summary