نتایج جستجو برای: using a random sampling procedure
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BACKGROUND Recent attention has focused on access of communities to pharmacy services in rural areas. To increase access to pharmacy services in rural Western Australia some doctors have been granted a licence to dispense medication on the rationale that a pharmacy would not be economically viable in that community. However, there have been no studies conducted on whether a doctor dispensing se...
The MCMC procedure, first released in SAS/STAT® 9.2, provides a flexible environment for fitting a wide range of Bayesian statistical models. Key enhancements in SAS/STAT 9.22 and 9.3 offer additional functionality and improved performance. The RANDOM statement provides a convenient way to specify linear and nonlinear random-effects models along with substantially improved performance. The MCMC...
We present a preliminary study on unsupervised preposition sense disambiguation (PSD), comparing different models and training techniques (EM, MAP-EM with L0 norm, Bayesian inference using Gibbs sampling). To our knowledge, this is the first attempt at unsupervised preposition sense disambiguation. Our best accuracy reaches 56%, a significant improvement (at p <.001) of 16% over the most-freque...
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