One of the key tasks in time series data mining is to cluster time series. However, traditional clustering methods focus on the similarity of time series patterns in past time periods. In many cases such as retail sales, we would prefer to cluster based on the future forecast values. In this paper, we show an approach to cluster forecasts or forecast time series patterns based on the Kullback-L...

BACKGROUND To select a proper diagnostic test, it is recommended that the most specific test be used to confirm (rule in) a diagnosis, and the most sensitive test be used to establish that a disease is unlikely (rule out). These rule-in and rule-out concepts can also be characterized by the likelihood ratio (LR). However, previous papers discussed only the case of binary tests and assumed test ...

Content-based video retrieval systems have shown great potential in supporting decision making in clinical activities, teaching, and biological research. In content-based video retrieval, feature combination plays a key role. As a result content-based retrieval of all different type video data turns out to be a challenging and vigorous problem. This paper presents an effective content based vid...

In this paper, we introduce new tests for exponentiality based on estimators of Renyi entropy of a continuous random variable. We first consider two transformations of the observations which turn the test of exponentiality into one of uniformity and use a corresponding test based on Renyi entropy. Critical values of the test statistics are computed by Monte Carlo simulations. Then, we compare p...

A refinement of the discrete Jensen’s inequality for convex functions defined on a convex subset in linear spaces is given. Application for f -divergence measures including the Kullback-Leibler and Jeffreys divergences are provided as well.

We introduce a new unsupervised learning algorithm for kernel-based topographic map formation of heteroscedastic gaussian mixtures that allows for a unified account of distortion error (vector quantization), log-likelihood, and Kullback-Leibler divergence.