Fuzzification of support vector machine has been utilized to deal with outlier and noise problem. This importance is achieved, by the means of fuzzy membership function, which is generally built based on the distance of the points to the class centroid. The focus of this research is twofold. Firstly, by taking the advantage of robust statistics in the fuzzy SVM, more emphasis on reducing the im...

Finans sektöründe çevrimiçi ve mobil işlemlerin sayısı hızının artması beraberinde farklı riskleri denetleme maliyetlerini de getirmiştir. Bu riskler sahtecilikten kredi riskine, veri tabanı hatalarından, operasyonel problemler müşteri kayıplarına kadar çok alanlarda gerçekleşebilir. çalışmada faktoring işlemleri için senaryo bazlı aykırılık analizi bu oluşma aşamasında gözetimli bir istatistik...

A time-series consisting of white noise plus Brownian motion sampled at equal intervals of time is exactly orthogonalised by a discrete cosine transform (DCTII). This paper explores the properties of a version of spectral analysis based on the discrete cosine transform and its use in distinguishing between a stationary time-series and an integrated (unit root) time-series.

Karin M. Kettenring*, Kristin L. Mercer, Carrie Reinhardt Adams and Jes Hines Ecology Center and Department of Watershed Sciences, Utah State University, Logan, UT, USA; Smithsonian Environmental Research Center, Edgewater, MD, USA; Department of Horticulture and Crop Science, The Ohio State University, Columbus, OH, USA; Department of Environmental Horticulture, University of Florida, Gainesvi...

Approximation capabilities of single non-linear layer networks, that feature a single global minimum of the error function are addressed. Bases of different transfer functions are tested (Gaussian, sigmoidal, multiquadratics). These functions are orthogonalised in an incremental manner for training and restored back to the original basis for network deployment. Approximation results are given f...

In this paper, we present a new methodology towards performing high-level synthesis. During high-level synthesis an algorithmic description is mapped to a structure of hardware components. In our approach, high-level synthesis is performed via program transformations. All transformations are performed within a higher order logic theorem prover thus guaranteeing correctness. Our approach is not ...

inverse sampling design is generally considered to be appropriate technique when the population is divided into two subpopulations, one of which contains only few units. in this paper, we derive the horvitz-thompson estimator for the population mean under inverse sampling designs, where subpopulation sizes are known. we then introduce an alternative unbiased estimator, corresponding to post-str...