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Information Planning for Text Data
Information planning enables faster learning with fewer training examples.
Bayesian Nonparametric Modeling of Driver Behavior using HDP Split-Merge Sampling Algorithm
In a novel manner, we demonstrate how the sparsity of the personal road network of a driver in conjunction with a hierarchical topic model allows data driven predictions about destinations as well as likely road conditions.
Adaptive Scan Gibbs Sampler for Large Scale Inference Problems
For large scale on-line inference problems the update strategy is critical for performance.
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