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Showing 1 to 3 of 3 for “"Approximate Probabilistic Inference"”.
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Physical reasoning in complex scenes is sensitive to mass
… realistic physical dynamics and sampling-based approximate probabilistic inference to efficiently and accurately estimate these properties. Several alternative heuristic accounts provide substantially worse fits. In a separate task, participants observed virtual 3D billiards-like movies and …
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Lifted probabilistic relational inference for uncertain networks
Probabilistic Relational Graphical Model (PRGM) is a popular tool for modeling uncertain relational knowledge, of which the set of uncertain relational knowledge is usually assumed to be independent with the domain of the application. One common application of PRGM is to model complex networks …
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Data and Computation Efficient Meta-Learning
… ML-PIP, a general framework for Meta-Learning approximate Probabilistic Inference for Prediction. ML-PIP extends existing probabilistic interpretations of meta-learning to cover a broad class of methods. We then introduce Versa, an instance of the framework employing a fast, flexible and …