during recent years, a debate has been taking place on the relationship between economic growth and trade policies. the present article explores the impact of trade liberalization on economic growth in islamic countries. we chose a sample of 26 islamic countries and using the gmm method, estimated the correlation between trade liberalization and economic growth for the period 1990-2003. the emp...

Gaussian mixture models (GMM) and support vector machines (SVM) are introduced to classify faults in a population of cylindrical shells. The proposed procedures are tested on a population of 20 cylindrical shells and their performance is compared to the procedure, which uses multi-layer perceptrons (MLP). The modal properties extracted from vibration data are used to train the GMM, SVM and MLP....

Variability in speech due to dialect is a major factor limiting speech system performance for speech recognition, spoken document retrieval, and dialog systems. In this study, we propose a novel discriminative algorithm to improve dialect classification for unsupervised spontaneous speech in Arabic. No transcripts are used for either training or testing, and all data are spontaneous speech. The...

JEL Classification Code(s): J 31, J 71) "Perceptions of Discrimination, Effort to Obtain Psychological Balance, and Relative Wages: Can We Infer a Happiness Gradient?" There is a substantial literature that finds a linkage between happiness and relative economic well being as measured by earnings or wages. There is also a well documented racial gap in wages. One explanation for this is disparat...

A two-stage classifier is used to improve the classification performance between normal and pathological voices. A primary classification between normal and pathological voices is achieved by the Gaussian mixture model (GMM) log-likelihood scores. For samples that do not meet the thresholds for normal or disordered voice in the GMM, the final decision is made by a higher-order statistics (HOS)-...

Abstract This article provides an empirical case study of the impacts COVID-19 pandemic on global beverage markets, particularly wine sector. Both international trade and domestic sales have been adversely affected by temporary shifts away from on-premise social distancing measures self-isolation that led to closure restaurants, bars, clubs, plus declines in travel tourism. Partly offsetting th...

knowledge of the relationship between two phenomena (inflation and unemployment) is crucial to any economic and political decision-making process. an investigation of this relationship helps economists and policy-makers to be aware of the economy’s performance. in the present research, new-keynesians’ philips hybrid curve has been derived by using the pricing models and the assumption of price ...

in this paper, the effect of trade openness on growth is examined across the members of organization of the islamic conference (oic) by using convergence-growth equation and gmm-system dynamic panel data estimator over the period 1980-2009. the results show that the overall trade, the trade with non-oic countries, and the investment in physical and human capital stimulate economic growth. in co...

A fast forward feature selection algorithm is presented in this paper. It is based on a Gaussian mixture model (GMM) classifier. GMM are used for classifying hyperspectral images. The algorithm selects iteratively spectral features that maximizes an estimation of the classification rate. The estimation is done using the k-fold cross validation. In order to perform fast in terms of computing tim...

This paper presents a novel automatic speaker age and gender identification approach which combines five different methods at the acoustic level to improve the baseline performance. The five subsystems are (1) Gaussian mixture model (GMM) system based on mel-frequency cepstral coefficient (MFCC) features, (2) Support vector machine (SVM) based on GMM mean supervectors, (3) SVM based on GMM maxi...