We describe a submission to the WMT12 Quality Estimation task, including an extensive Machine Learning experimentation. Data were augmented with features from linguistic analysis and statistical features from the SMT search graph. Several Feature Selection algorithms were employed. The Quality Estimation problem was addressed both as a regression task and as a discretised classification task, b...

6 Providing real-time bus arrival times can enhance the experience of riders using 7 public transit, but errors in the predictions can cause a decrease in ridership. 8 Using data collected from a local transit agency, we created models to predict 9 arrival times using K-Nearest Neighbors and Kernel Regression and seven sets 10 of features. The best feature set had a RMSE of 34 seconds, a large ...

Random sample selection method in backpropagation results in convergence on the error (root of mean squared error, RMSE) surface. These problems, which are caused by the extreme (worst-case) errors, can be solved by a different sample selection strategy. A sample selection strategy has been proposed, which provides lower maximal errors and a higher confidence level on the expense of slightly in...

We propose a method for medical image denoising using calculus of variations and local variance estimation by shaped windows. This method reduces any additive noise and preserves small patterns and edges of images. A pyramid structure-texture decomposition of images is used to separate noise and texture components based on local variance measures. The experimental results show that the proposed...

A gaze tracking system, based on a novel neural approach, is proposed. The work is part of a wider research project concerning the development of human computer interfaces (HCI) addressed to disabled people, that could overcome the drawbacks of most of the existing methods for gaze tracking that require either intrusive devices or expensive equipment. This work, instead, aims at developing a lo...

<span lang="IN">In the production process, quality checking is very important, one of which on wire. In process making brass-coated steel tire straps sometimes produce goods not in accordance with desired standard values. Checks that are carried out manually have low efficiency and quite high errors occur. So it necessary to check by measuring wavelength brass plated cord automatically. t...

Robust repeated measures discriminant analysis (RMDA) procedures based on parsimonious covariance structures were developed using trimmed estimators. The e ects of non-normality, covariance structure, and mean con guration on bias and root mean square error (RMSE) of RMDA coe cients were studied using Monte Carlo techniques. The bias and RMSE values of robust RMDA coe cients were at least 10% a...

The Artificial Neural Network (ANN) fitting tool is used for the prediction of solar radiation. Solar radiation data from 12 Indian stations with different climatic conditions are used for training and testing the ANN. The Levenberg-Marquard (LM) algorithm is used in this analysis. The results of ANN model are compared with measured data on the basis of root mean square error (RMSE) and mean bi...

Here, we examined multitemporal behavior of fully polarimetric SAR (PolSAR) parameters at L-band in relation to the stem volume of boreal forests. The PolSAR parameters were evaluated in terms of their temporal consistency, inter-dependence and suitability for forest stem volume estimation across several seasonal conditions (frozen, thaw and unfrozen). The satellite SAR data were represented by...

18 Tea fields emit large amounts of nitrous oxide (N2O) to the atmosphere. Obtaining accurate 19 estimations of N2O emissions from tea-planted soils is challenging due to strong spatial 20 variability. We examined the spatial variability of N2O emissions from a red-soil tea field in 21 Hunan province, China, on 22 April 2012 (in a wet season) using 147 static mini chambers 22 approximately regu...