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 “"Low-rank models"”.
-
Low-rank graphical models and Bayesian inference in the statistical analysis of noisy neural data
… been difficult to find general constructions for models in which efficient exact inference is possible, outside of certain classical cases. We identify a class of such models that are tractable owing to a certain "low-rank" structure in the potentials that couple neighboring variables. In the …
-
Non-Parametric Spatial Models
… have been developed in recent years that allow for the computation of likelihood for a very large sample size, these techniques can be applied to our non-parametric models as well. Thirdly, the most popular parametric families of covariance function are monotone--that is, the covariance …
-
Modeling, predicting, and guiding users' temporal behaviors
… question with new exploratory and predictive models. On the other hand, these myriads of microscopic event data, such as publishing a post, forwarding a tweet, purchasing a product, checking in a place, often arise asynchronously and interdependently; hence they require new representing and …