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L1-Penalized Ordinal Regression and Bayesian Variable Selection for Linear Models with Multiple Responses
(University of Waterloo, 2015-05-20)
Polychotomous ordinal response data are often analyzed by first introduce a latent continuous variable which can be modeled as an ordinary regression problem with the presence of covariates by using Markov chain Monte Carlo ...
A Study of Using Chinese Restaurant Process Mixture Models in Information Retrieval
(University of Waterloo, 2015-01-16)
Retrieval systems help users to isolate relevant information from massive data collections. Usually, a user obtains useful information by submitting a query to such a system. One critical issue is that a query could have ...