Generalized Multiobjective Multitree model (GMMmodel) considering by the first time multitree-multicast load balancing with splitting in a multiobjective context. To solve the GMM-model, a multiobjective evolutionary algorithm (MOEA) inspired by the Strength Pareto Evolutionary Algorithm (SPEA) was proposed. In this paper, we extends the GMM-model to dynamic multicast groups (i.e., in which egr...

Abstract The theoretical and applied issues of the relationship between institutions and economic growth have thoroughly been examined in ASEAN countries. This study revisits the issue and tests the role of institutions in the economic growth using the World Governance Indicators (WGI) and uses a new method to examine the impact of the various institutions on the economic growth. We used dynam...

The environmental use of microorganisms as a means to combat pests and diseases, to remediate contaminated land and act as bio-fertilisers and plant growth promoters has been a focus for research for many years. However, the successful application of living microbial inocula is dependent on a thorough understanding of the behaviour of the organisms involved in relation to the environment into w...

The paper investigates the role of real exchange rate misalignment on long-run growth for a set of ninety countries using time series data from 1980 to 2004. We first estimate a panel data model (using fixed and random effects) for the real exchange rate, with different model specification, in order to produce estimates of the equilibrium real exchange rate and this is then used to construct ou...

We compare the performance of ve algorithms for vector quan-tisation and clustering analysis: the Self-Organising Map (SOM) and Learning Vector Quantization (LVQ) algorithms of Kohonen, the Linde-Buzo-Gray (LBG) algorithm, the MultiLayer Perceptron (MLP) and the GMM/EM algorithm for Gaussian Mixture Models (GMM). We propose that the GMM/EM provides a better representation of the speech space an...

This paper presents some experiments on discriminative training for GMM/UBM based speaker recognition systems. We propose two MMIE adaptation methods for GMM component weights suitable for speaker recognition. The impact on performance of this training methods is compared to the standard weight estimation/adaptation criterion, MLE and MAP on standard GMM based systems and on SVM based systems. ...

This study uses U.S. Census data on average home values in Southern California census tracts from 1960 to 2010. Using growth mixture modeling (GMM), 26 unique groups are detected capturing nonlinea...