„Learning Control“
Suchergebnisse
9.512 Treffer
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An efficient green computing fair resource allocation in cloud computing using modified deep reinforcement learning algorithm
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Improving the prediction rate of unusual behaviors of animal in a poultry using deep learning technique
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Copy-move forgery detection using SURF feature extraction and SVM supervised learning technique
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Discriminative low-rank projection for robust subspace learning
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Automatic Defect Detection for Small Metal Cylindrical Shell Using Transfer Learning and Logistic Regression
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Development of Children’s monitoring and control when learning from texts: effects of age and test format
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Establishing metrics and control laws for the learning process: ball and beam balancing
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Monitoring and detecting faults in wastewater treatment plants using deep learning
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Recent advances in deep learning
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Learning deep hierarchical and temporal recurrent neural networks with residual learning
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Emotion recognition using multimodal deep learning in multiple psychophysiological signals and video
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ALFAA: Active Learning Fingerprint based Anti-Aliasing for correcting developer identity errors in version control systems
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A multi-scanner study of MRI radiomics in uterine cervical cancer: prediction of in-field tumor control after definitive radiotherapy based on a machine learning method including peritumoral regions
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Video-based learning versus traditional lecture-based learning for osteoporosis education: a randomized controlled trial
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Robot Interaction Styles for Conversation Practice in Second Language Learning
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Multiple-instance learning via multiple-point concept based instance selection
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Automatic “Ground Truth” Annotation and Industrial Workpiece Dataset Generation for Deep Learning
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Quantifying student engagement in learning about climate change using galvanic hand sensors in a controlled educational setting
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Research on Self-Learning Fuzzy Control of Controllable Excitation Magnetic Suspension Linear Synchronous Motor
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Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework Using Visual and Depth Cues