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Il y a 5 heures · 1 Introduction. Reinforcement learning [ 51] (RL) is a sampling-based approach to synthesis, capable of producing solutions with superhuman efficiency [ 10, 44, 49 ]. An RL agent interacts with its environment through episodic interactions while receiving scalar rewards as feedback for its performance.
Il y a 5 heures · 5 Conclusion. In this paper, we propose sEMG-MVFCRL - a sEMG-based Multi-View Feature-Constrained Representation Learning method, which constructs the original sEMG signals into two views, using different feature extraction models to process different views, and projects them into view-shared and view-specific spaces.
Il y a 5 heures · The method is known as data mining. When a customer stop utilising a company’s product or service, this is known as churn. Churn refers to the attainable loss of business that it causes in the telecom paradigm. Because of this, telecom service providers are utilising a variety of tactics to bind their clients.
