„Supervised learning“
Suchergebnisse
2.377 Treffer
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Self-supervised predictive learning accounts for cortical layer-specificity
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Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data
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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction
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Self-supervised denoising of dynamic fluorescence images via temporal gradient-empowered deep learning
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Enhanced diagnosis of bearing and gear faults using Hilbert-Huang transform, singular value decomposition, and supervised learning methods
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Intelligent Computing Systems – First International Symposium, ISICS 2016, Mérida, México, March 16-18, 2016, Proceedings
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Intelligent Data Engineering and Automated Learning – IDEAL 2014 – 15th International Conference, Salamanca, Spain, September 10-12, 2014. Proceedings
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Cross-subject human activity recognition based on self-training and self-supervised learning
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MCDINO: Self-supervised learning of masks based on combination of multi-path channel attention and local feature weighting
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Self-supervised learning for MRI reconstruction: a review and new perspective
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Deep Feature Disentanglement for Supervised Contrastive Learning: Application to Image Classification
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Evolutionary optimization for enhanced self-supervised learning: leveraging genetic algorithms for representation learning
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DSSLNet: dual-stream self-supervised learning network for end-to-end speech recognition
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Self-supervised learning in drug discovery
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Estimating the Prevalence of Dementia in India Using a Semi-Supervised Machine Learning Approach
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Angio-Diff: learning a self-supervised adversarial diffusion model for angiographic geometry generation
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Automatisierung und richterliche Rechtsanwendung – rechtliche Anforderungen und technische Möglichkeiten der Entwicklung eines intelligenten Systems für richterliche Rechtsanwendung
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A Combined Supervised and Unsupervised Deep Learning Approach for Intrusion Detection in IoT Traffic in an Edge Computing Environment
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Domain adaptation with category-level contrastive learning for semi-supervised cross-modal hashing
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ISSMLCF: an inductive semi-supervised multi-label learning algorithm with co-forest paradigm