‎In this paper‎, ‎an approach based on statistical spline model (SSM) and collocation method is proposed to solve Volterra-Fredholm integral equations‎. ‎The set of collocation nodes is chosen so that the points yield minimal error in the nodal polynomials‎. ‎Under some standard assumptions‎, ‎we establish the convergence property of this approach‎. ‎Numerical results on some problems are given...

the objective of this paper ts to investigate into the lexical collocation in persian language. to achieve this goal , the existing literature will be reviewed, so as to put forward the relation between lexical collocation and the theory of semantic fields

We consider a linear full elliptic second order partial differential equation in a d-dimensional domain, d ≥ 1, approximated by isogeometric collocation methods based on uniform B-splines of degrees p := (p1, . . . , pd), pj ≥ 2, j = 1, . . . , d. We give a construction of the inherently non-symmetric matrices arising from this approximation technique and we perform an analysis of their spectra...

In this article, we propose the use of partitioning and clustering methods as an alternative to Gaussian quadrature for stochastic collocation (SC). The key idea is to use cluster centers as the nodes for collocation. In this way, we can extend the use of collocation methods to uncertainty propagation with multivariate, correlated input. The approach is particularly useful in situations where t...

The selection of features is critical in providing discriminative information for classifiers in Word Sense Disambiguation (WSD). Uninformative features will degrade the performance of classifiers. Based on the strong evidence that an ambiguous word expresses a unique sense in a given collocation, this paper reports our experiments on automatic WSD using collocation as local features based on t...