„Learning Control“
Suchergebnisse
9.512 Treffer
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Learning conformational flexibility of immune receptors
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Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data
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Towards compute-efficient Byzantine-robust federated learning with fully homomorphic encryption
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Model-based reinforcement learning for hydraulic systems: a PILCO-based control strategy for controlling an inverted hydraulic pendulum
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Optimal robust PI-type load frequency control of renewable penetrated power system with delayed electric vehicles aggregators
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The effects of robot learning on human teachers for learning from demonstration
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Transactions on Large-Scale Data- and Knowledge-Centered Systems LII
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Transactions on Large-Scale Data- and Knowledge-Centered Systems LVI – Special Issue on Data Management - Principles, Technologies, and Applications
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Cooperative control method for multi-agent ground fracturing truck group based on offline reinforcement learning
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Evaluating the impact of an early reading app on preschool literacy skills: A pilot randomized control study
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Bayesian optimal investment and reinsurance with dependent financial and insurance risks
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An astrocytic signaling loop for frequency-dependent control of dendritic integration and spatial learning
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A weight adaptation method for fuzzy cognitive map learning
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Adaptive actor-critic learning for the control of mobile robots by applying predictive models
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TSC prediction and dynamic control of BOF steelmaking with state-of-the-art machine learning and deep learning methods
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An online BOF terminal temperature control model based on big data learning
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MILA – multilevel immune learning algorithm and its application to anomaly detection
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Learning Control: Sense-Making, CNC Machines, and Changes in Vocational Training for Industrial Work
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Prediction of flood routing results in the Central Anatolian region of Türkiye with various machine learning models
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The future water vulnerability assessment of the Seoul metropolitan area using a hybrid framework composed of physically-based and deep-learning-based hydrologic models