The proposed method uses multi layered perceptron neural network and support vector machine to classify the normal subjects. Data used for training, testing and cross validation was recorded from normal persons (without any heart disease) within thirty six months, in the interval of 10/15 days. Ten hybrid features were extracted from the recorded signals by using wavelet transform. The classifi...

• Predictive Accuracy Measures. These measures evaluate how close the recommender system came to predicting actual rating/utility values. • Classification Accuracy Measures. These measures evaluate the frequency with which a recommender system makes correct/incorrect decisions regarding items. • Rank Accuracy Measures. These measures evaluate the correctness of the ordering of items performed b...

Radionuclide multigated cardiac imaging was performed to assess functional cardiac reserve in patients with hyperthyroidism. In 11 normal individuals, submaximl supine exercise increased heart rate (HR) by 60 percent, systolic blood pressure (BP) by 54 percent, and the left ventricular ejection fraction (LVEF) by 13 percent. All of these increments were statistically significant (p < 0.001). Ei...

It is shown that regression-based methods of forecast combination lead to serially correlated combined prediction errors. The form of the serial correlation is characterized, and specification, estimation, and prediction are treated. A fully optimal combined predictor, which exploits the serial correlation, is developed and compared with existing regression-based methods in a numerical example,...

Real-time video streaming over the Internet requires robust delivery mechanisms with low overhead. Traditional error control schemes are not attractive because they either add redundant information that may worsen network traffic, or rely solely on the inadequate capability of the decoder to do error concealment. As sophisticated concealment techniques cannot be employed in a real-time software...

This paper deals with an issue that appears to be unexplored by demographers. The issue Is based on the question: "if one was not only doing ex post facto evaluations of estimates (or projections) of the total population but by characteristics such as race and geography, how would one summarize the summary measures of error?" The paper examines this issue in two dimensions using a standard summ...

Abstract. The root-mean-squared error (RMSE) and mean absolute (MAE) are widely used metrics for evaluating models. Yet, there remains enduring confusion over their use, such that a standard practice is to present both, leaving it the reader decide which more relevant. In recent reprise 200-year debate Willmott Matsuura (2005) Chai Draxler (2014) give arguments favoring one metric or other. How...