Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 3 of 3 for “"Lifted Inference"”.

  1. Lifted Inference for Relational Hybrid Models

    … forecasting and robot localizations. Scaling inference algorithms for large models is a key challenge for scaling up current applications and enabling future ones. This thesis presents new insights into large-scale probabilistic graphical models. It provides fresh ideas for maintaining a …

    uiuc Repository record for Lifted Inference for Relational Hybrid Models (opens in a new tab)

  2. Lifted probabilistic relational inference for uncertain networks

    … structural features. Efficient and accurate inference algorithms that can handle models with non-trivial structural features (e.g., transitive relations) are important for applications of this kind. In this thesis, (1) we provide new algorithm for efficient and accurate inference on PRGMs …

    uiuc Repository record for Lifted probabilistic relational inference for uncertain networks (opens in a new tab)

  3. Lifted First-Order Probabilistic Inference

    … specifications have been proposed, but in the inference stage they still operate mostly on a propositional level, where the rich and useful first-order structure is not explicit anymore. In this thesis we present a framework for lifted inference on first-order models, that is, inference where …

    uiuc Repository record for Lifted First-Order Probabilistic Inference (opens in a new tab)