A methodology is introduced for the identification of a multi-modal real-valued random variable from a collection of samples. The random variable is seen as a finite mixture of uni-modal random variables. A functional representation of the random variable is used, which can be interpreted as a mixture of polynomial chaos expansions. After a suitable separation of samples into sets of uni-modal ...

Outlier detection is an important process for text document collections, but as the collection grows, the detection process becomes a computationally expensive task. Random projection has shown to provide a good fast approximation of sparse data, such as document vectors, for outlier detection. The random samples of Fourier and cosine spectrum have shown to provide good approximations of sparse...

to evaluate the value of random urinary protein creatinine ratio in prediction of 24h proteinuria in hypertensive pregnancies. method: random urine samples and routine 24h urine collections were collected from hypertensive pregnant women (n=100). reliability of random urinary protein-creatinine ratio was assessed by receiver operator characteristic (roc) curve to detect significant proteinuria ...