The vast use of Linear Prediction Coefficients (LPC) in speech processing systems has intensified the importance of their accurate computation. This paper is concerned with computing LPC coefficients using evolutionary algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Dif-ferential Evolution (DE) and Particle Swarm Optimization with Differentially perturbed Velocity (PSO-DV...

Near-infrared spectroscopy (NIRS), a rapid and efficient tool, was used to determine the total amount of nine ginsenosides in Panax ginseng. In the study, the regression models were established using multivariate regression methods with the results from conventional chemical analytical methods as reference values. The multivariate regression methods, partial least squares regression (PLSR) and ...

This paper is addressed to economic problems for which many different solutions (models) can be proposed. In such situation the ensemble approach is a natural way to improve the final prediction results. In particular, we present the method for the prediction improvement in multi-agent environment based on the multivariate decompositions. As a decomposition method we present the smooth componen...

This paper starting from the very first principle presents a derivation of an equation estimating of the final prediction error for a neural network under the recursive least square framework. The equation is in the form: hhPEiF iT 1⁄4 hTEiT N þ d1 N d2 , where d1 and d2 are some values determined by the gradient of the nonlinear mapping at the true system parameter. A cheap way of estimating s...

Future Work Path Error = Distance at each predicted step between prediction and ground truth. Final Displacement = Distance between the final points ● We used 5 pre-annotated Stanford Drone Dataset video-streams of the “The Circle of Death” ● total of 22 minutes of footage (with 1548 Bicyclists, 917 Pedestrians, 107 Skaters, and 132 carts) ○ Holdout: Training on first 3 scenes (17 min). Tested ...

the current study aims to investigate the relationship between stock liquidity risk and financial information quality criteria (i.e. the timely dividends announcement, accruals quality and the percentage of profitability prediction error) of companies listed on the tehran stock exchange. for this purpose, 148 cases of data from listed companies, collected from 2007 to 2012, were employed in ord...

This paper reports a preliminary attempt on data-driven modeling of segmental (phoneme) duration for two Indian languages Hindi and Telugu. Classification and Regression Tree (CART) based data-driven duration modeling for segmental duration prediction is presented. A number of features are proposed and their usefulness and relative contribution in segmental duration prediction is assessed. Obje...

This paper reports preliminary results of data-driven modeling of segmental (phoneme) duration for Hindi. Classification and Regression Tree (CART) based datadriven duration modeling for segmental duration prediction is presented. A number of features are considered and their usefulness and relative contribution for segmental duration prediction is assessed. Objective evaluation of the duration...