In this paper, we describe the use of lexical and semantic features for topic classification in dictated medical reports. First, we employ SVM classification to assign whole reports to coarse work-type categories. Afterwards, text segments and their topic are identified in the output of automatic speech recognition. This is done by assigning work-type-specific topic labels to each word based on...

In this paper, we presented the performance of forecasting model and error correction will affect the accuracy of short-term load forecasting. Least squares support vector machines (LS-SVM) based on improved particle swarm optimization is selected as load forecasting model. Forecasting accuracy and generalization performance of LS-SVM depend on selection of its parameters greatly. Adaptive part...

Among agricultural products in Iran, pistachio is one of the major export products that can produce foreign currency. The present study evaluated factors affecting pistachio export earnings instability and its effect on agricultural export during the studied period. For this purpose, export earnings instability index was calculated using "average absolute difference between export earnings and ...

This study examines the significant impact of exchange rate shock on prices of Malaysian importsand exports. In methodology, the study adopts vector error correction (VECM) model using monthlydata of nominal exchange rates, money supply, prices of imports and prices of exports covering theperiod of M1:1999 to M12:2006. For further analysis, we adopt an innovation accounting bysimulating varianc...

Prediction of economic variables is a basic component not only for economic models, but also for many business decisions. But it is difficult to produce accurate predictions in times of economic crises, which cause nonlinear effects in the data. Such evidence appeared in the German automobile industry as a consequence of the financial crisis in 2008/09, which influenced exchange rates and a...