Over the last four decades, bankruptcy prediction has given rise to an extensive body of literature, the aim of which was to assess the conditions under which forecasting models perform effectively. Of all the parameters that may influence model accuracy, one has rarely been discussed: the influence of the variable selection method. The aim of our research is to evaluate the prediction accuracy...

General aspects of the problem of forecasting precipitation in northeast Colorado are discussed and the forecast area described. A precipitation day for the area is defined on the basis of the number of cooperative weather stations reporting precipitation. Variables with prognostic value in determining upslope flow and, consequently, precipitation in northeast Colorado, are discussed. To obtain...

7 [1] This paper investigates surface and satellite temperature trends over the period 8 from 1979 to 2008. Surface temperature data sets from the National Climate Data 9 Center and the Hadley Center show larger trends over the 30-year period than the 10 lower-tropospheric data from the University of Alabama in Huntsville and Remote 11 Sensing Systems data sets. The differences between trends o...

This paper describes a fast search algorithm f o r warping motion compensation schemes which is bused on a first order approximation of a Taylor series. In comparison to a full search algorithm the technique significantly reduces the required computational load (by a factor of approximately f i f ty) whilst maintaining the performance in terms of prediction error. Further gains in prediction er...

Modern electronic design automation flows depend on both implementation and signoff tools to perform timing-constrained power optimization through Engineering Change Orders (ECOs), which involve gate sizing threshold-voltage ( V th )-assignment of standard cells. However, the ECO is highly time-consuming, improvement hard predict in advance. Ever since industrial benchmarks released by ISPD-201...

Most of the existing algorithms for parameter estimation of damped sinusoidal signals are based only on the low-rank approximation of prediction matrix and ignore the Hankel property of the prediction matrix. In this correspondence, we propose a modified KT (MKT) algorithm exploiting both rank-deficient and Hankel properties of the prediction matrix. Computer simulation results demonstrate that...

In this paper, we analyze dynamics of runoff data from actual hydrologic station on the basis of the chaos theory. Through analyzing Characteristics of power spectrum, geometric structure of attractors and calculating Lyapunov index, it confirmed that actual runoff has chaos dynamics behavior. Local prediction model based on chaotic runoff data is inferior for heavy computation load and poor ac...

Firstly, two kinds of natural distances between intuitionistic fuzzy sets are generated by the classical natural distance between fuzzy sets under a unified framework of residual intuitionistic implication operators. Secondly, the continuity and approximation property of a method for solving intuitionistic fuzzy reasoning are defined. It is proved that the triple implication method for intuitio...

Structured prediction is used in areas such as computer vision and natural language processing to predict structured outputs such as segmentations or parse trees. In these settings, prediction is performed by MAP inference or, equivalently, by solving an integer linear program. Because of the complex scoring functions required to obtain accurate predictions, both learning and inference typicall...