„Learning Control“
Suchergebnisse
9.512 Treffer
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Learning with confidence: training better classifiers from soft labels
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Reinforcement learning-based distributed appointed-time optimal trajectory tracking formation control for quadrotor UAVs
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A non-adaptive segmentation algorithm for particle images in controlled environments with uniform backgrounds based on two-round superpixel segmentation and ensemble learning
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Evo-Path: a two-stage temporal knowledge graph reasoning model and its application in human behavior prediction
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DP-FedSecure: a secure and efficient federated learning scheme based on adaptive differential privacy
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MASS-CSP: mining with answer set solving for contrast sequential pattern mining
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L2D2: Robot Learning from 2D drawings
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Mild cognitive impairment affects motor control and skill learning
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Does extracellular proteolysis control mammalian cognition?
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Editorial: special issue on machine learning for health and medicine
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Behavioural Conditioning of Immune Functions: How the Central Nervous System Controls Peripheral Immune Responses by Evoking Associative Learning Processes
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Learning in Systems Controlling Motor Automatisms
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Hierarchical reinforcement learning-based traffic signal control
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Advanced wind/photovoltaic power smoothing using LSTM neural networks and machine learning
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Using deep learning applied in computer vision for the inclusion of individuals with tetraplegia through assistive robotics via facial features
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Co-Boost: boosting and guiding neuroplasticity by combining ketamine with neurofeedback-assisted learning—towards an individualised and integrated pharmaco-psychotherapy for cocaine addiction: study protocol for a randomised, placebo-controlled, double-blind, parallel-group, single-centre trial
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Accelerating protein engineering with fitness landscape modelling and reinforcement learning
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Business Forecasting unter Einsatz von Machine Learning und Business Intelligence – Eine Analyse auf Basis eines öffentlich zugänglichen Datensatzes
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Fast-exploring reinforcement learning with applications to stochastic networks
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A unified pre-trained deep learning framework for cross-task reaction performance prediction and synthesis planning