„Supervised Learning“
Suchergebnisse
2.377 Treffer
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A supervised learning approach for recommending medical specialists in the healthcare sector for the Afaan Oromo context
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Semi-supervised Medical Image Segmentation Using Heterogeneous Complementary Correction Network and Confidence Contrastive Learning
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Self-supervised learning of molecular representations
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Jensen–Tsallis divergence for supervised classification under data imbalance
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Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical, and well log data
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Physics-driven self-supervised learning for fast high-resolution robust 3D reconstruction of light-field microscopy
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Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (a review) – Part 1: algorithms of unsupervised and supervised machine learning
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Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation
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Self-supervised learning of molecular representations from millions of tandem mass spectra using DreaMS
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Enhancing basal cell carcinoma classification in preoperative biopsies via transfer learning with weakly supervised graph transformers
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A supervised machine learning approach with feature selection for sex-specific biomarker prediction
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A new method of semi-supervised learning classification based on multi-mode augmentation in small labeled sample environment
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Statistical Analysis Techniques in Particle Physics – Fits, Density Estimation and Supervised Learning
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Statistical Analysis Techniques in Particle Physics – Fits, Density Estimation and Supervised Learning
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Machine Learning–Assisted Risk Assessment of Pitting Corrosion Susceptibility of AA1050 in Ethanol‐Containing Fuels
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Machine Learning–Assisted Risk Assessment of Pitting Corrosion Susceptibility of AA1050 in Ethanol‐Containing Fuels
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Machine Learning–Assisted Risk Assessment of Pitting Corrosion Susceptibility of AA1050 in Ethanol‐Containing Fuels
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Semi-supervised novelty detection
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SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes
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Towards automated self-supervised learning for truly unsupervised graph anomaly detection