Showing 1 - 20 results of 27 for search 'MODEL MAKING', query time: 1.65s Refine Results
  1. 1
    Learning a tree-structured ising model in order to make predictions
    by Bresler, Guy, Karzand, Mina
    Published 2021
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  2. 2
    Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations
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  3. 3
    On the accuracy of interference models in wireless communications
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  4. 4
    A Data-Driven Approach to Modeling Choice
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  5. 5
    Sampling from Gaussian graphical models using subgraph perturbations
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  6. 6
    Interference Model Similarity Index and Its Applications to Millimeter-Wave Networks
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  7. 7
    Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery
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  8. 8
    Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams
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  9. 9
    Bayesian Learning Without Recall
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  10. 10
    Robust Network Routing under Cascading Failures
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  11. 11
    Delay-Predictability Trade-offs in Reaching a Secret Goal
    by Tsitsiklis, John N, Xu, Kuang
    Published 2021
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  12. 12
    A contraction approach to input tracking via high gain feedback
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  13. 13
    Randomized Search Strategies for Wideband Signal Acquisition
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  14. 14
    Complexity of Bayesian Belief Exchange over a Network
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  15. 15
    Decentralized Control of Partially Observable Markov Decision Processes Using Belief Space Macro-Actions
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  16. 16
    Planning for decentralized control of multiple robots under uncertainty
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  17. 17
    Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions
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  18. 18
    Measurable Augmented Reality for Prototyping Cyberphysical Systems: A Robotics Platform to Aid the Hardware Prototyping and Performance Testing of Algorithms
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  19. 19
    On Learning With Finite Memory
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  20. 20
    Optimal Pose and Shape Estimation for Category-level 3D Object Perception
    by Shi, Jingnan, Yang, Heng, Carlone, Luca
    Published 2021
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    Article
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