In this paper we address the problem of learning Gaussian Mixture Models (GMMs) incrementally. Unlike previous approaches which universally assume that new data comes in blocks representable by GMMs which are then merged with the current model estimate, our method works for the case when novel data points arrive oneby-one, while requiring little additional memory. We keep only two GMMs in the m...

Markowitz model is the first modern formulation of portfolio optimization problem. Relyingon historical return of stocks as basic information and using variance as a risk measure aretow drawbacks of this model. Since Markowitz model has been presented, many effortshave been done to remove theses drawbacks. On one hand several better risk measures havebeen introduced and proper models have been ...

One of the most important processes in the early stages of construction projects is to estimate the cost involved. This process involves a wide range of uncertainties, which make it a challenging task. Because of unknown issues, using the experience of the experts or looking for similar cases are the conventional methods to deal with cost estimation. The current study presents data-driven metho...

This study examines the forecasting performance of Adaptive Neuro Fuzzy Inference System(ANFIS) compared in comparison to statistical autoregressive integrated moving average (ARIMA) and the artificial neural network (ANN) model in forecasting of rice yield production.. To assess the effectiveness of these models, we used 9 years of time series records for rice yield data in Malaysia from 1995 ...

Objective:Predictions of hospital charges for cancer patients are very important, because they provide a basis for allocating medical resources in the hospital and for establishing national medical policies. But previous studies to predict hospital charges were mainly based on statistical analysis, which has used only a small aspect among huge medical data so that the prediction power was limit...

Background. Considering the importance of the role of performance appraisal in organizations, we conclude that performance evaluation has played a major role in achieving human resource productivity. On the other hand, due to the importance of human resources and the role played by the organization, attention to the attitudes and behaviors of this valuable factor is very important. Objectives....

objective: the aim of this study is to explore the confirmatory factor analysis results of the persian adaptation of statistics anxiety measure (sam), proposed by earp. method: the validity and reliability assessments of the scale were performed on 298 college students chosen randomly from tabriz university in iran. confirmatory factor analysis (cfa) was carried out to determine the factor stru...