„Learning Control“
Suchergebnisse
9.512 Treffer
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Metric learning with clustering-based constraints
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A novel federated learning approach based on the confidence of federated Kalman filters
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Weakly-supervised learning for community detection based on graph convolution in attributed networks
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Predicting the abnormality of brain and compute the cognitive power of human using deep learning techniques using functional magnetic resonance images
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PNF in Practice – An Illustrated Guide
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Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning
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Prediction of national agricultural products wholesale price index in China using deep learning
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Risk assessment of COVID-19 pandemic using deep learning model for J&K in India: a district level analysis
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Weak-label-based global and local multi-view multi-label learning with three-way clustering
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Intelligent and resizable control plane for software defined vehicular network: a deep reinforcement learning approach
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Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems
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A reinforcement learning optimization for future smart cities using software defined networking
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Acquiring reusable skills in intrinsically motivated reinforcement learning
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DyS-IENN: a novel multiclass imbalanced learning method for early warning of tardiness in rocket final assembly process
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Semi-global leader-following output consensus of heterogeneous systems subject to actuator position and rate saturation
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An observation of the peer-assisted learning (PAL) method in the clinical teaching of vertigo/dizziness-related diseases for standardized residency training (SRT) students in China: a randomized, controlled, multicenter study
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An online robot collision detection and identification scheme by supervised learning and Bayesian decision theory
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Multi-label space reshape for semantic-rich label-specific features learning
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Development of integrated deep learning and machine learning algorithm for the assessment of landslide hazard potential
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Learning template-free network embeddings for heterogeneous link prediction