Targeted active learning for probabilistic models

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Targeted active learning for probabilistic models

Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models

M Alali, M Imani - IEEE Transactions on Artificial Intelligence, 2024 - ieeexplore.ieee.org

Hidden Markov Models (HMMs) are a powerful class of dynamical models for representing
complex systems that are partially observed through sensory data. Existing data collection …

[引用][C] Incorporating interaction into learning systems

C Tosh

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Targeted active learning for probabilistic models

Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models

[引用][C] Incorporating interaction into learning systems

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