Background: This study evaluated the effects of 1:1 mixture of aqueous root bark extracts of Anogeissus leiocarpus (DC) Guill & Perr (Combretaceae) and Terminalia avicennioides Guill & Perr (Combretaceae) in male rats. Methods: Male rats were orally administered a 1:1 mixture of both extracts (250, 500 and 1000 mg/kg body weight) for seven days. Liver and kidney function indices, haematologica...

In this paper, we describe new techniques to signi cantly reduce computational, storage and memory access requirements of a tied-mixture HMM based speech recognition system. Although continuous mixture HMMs o er improved recognition performance, we show that tied-mixture HMMs may o er signi cant advantage in complexity reduction for low-cost implementations. In particular, we consider two tasks...

A three-level hierarchical mixture model for classification is presented that models the following data generation process: (1) the data are generated by a finite number of sources (clusters), and (2) the generation mechanism of each source assumes the existence of individual internal class-labeled sources (subclusters of the external cluster). The model estimates the posterior probability of c...

In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models for classification problem. In each step of BML, one new mixture component is calculated according to functional gradient of an objective function to ensure that it is added along the direction to maximize the objective ...

A three-level hierarchical mixture model for classiŽcation is presented that models the following data generation process: (1) the data are generated by a Žnite number of sources (clusters), and (2) the generation mechanism of each source assumes the existence of individual internal class-labeled sources (subclusters of the external cluster). The model estimates the posterior probability of cla...

Observing natural phenomena at several levels of detail results in multiresolution data. Extending models and algorithms to cope with multiresolution data is a prerequisite for wide-spread exploitation of the data represented in the multiple resolutions. Mixture models are widely used probabilistic models, however, the mixture models in their standard form can be used to analyze the data repres...

We introduce the Weibull distributions in presence of cure fraction, censored data and covariates. Twomodels are explored in this paper: mixture and non-mixture models. Inferences for the proposed models are obtained under the Bayesian approach, using standard MCMC (Markov Chain Monte Carlo) methods. An illustration of the proposed methodology is given considering a lifetime data set.