The ability to recognize analogies is an important factor that is closely related to human intelligence. Verbal analogies have been used for evaluating both examinees at university entrance exams as well as algorithms for measuring relational similarity. However, relational similarity measures proposed so far are confined to measuring the similarity between pairs of words. Unfortunately, such p...

Despite the increased awareness that exploiting the large amount of semantic data requires statistics-based inference capabilities, only little work can be found on this direction in the Semantic Web research. On semantic data, supervised approaches, particularly kernel-based Support Vector Machines (SVM), are promising. However, obtaining the right features to be used in kernels is an open pro...

Cottonseed of three Nigerian commercial varieties cotton, locational composite seed cotton and cottonseed meals were investigated with respect to their content gossypol (free total), tannins, phytin phosphorus. Free total ranged from 1.14 1.34% 1.21 1.59%, respectively in kernels, 0.028 0.064% 0.413 0.831%, meals. Varietal environmental factors appeared influence the while variability was due e...

We consider biperiodic integral equations of the second kind with weakly singular kernels such as they arise in boundary integral equation methods. The equations are solved numerically using a collocation scheme based on trigonometric polynomials. The weak singularity is removed by a local change to polar coordinates. The resulting operators have smooth kernels and are discretized using the ten...

This paper is devoted to the study of reproducing kernel Hilbert spaces. We focus on multipliers of reproducing kernel Banach and Hilbert spaces. In particular, we try to extend this concept and prove some related theorems. Moreover, we focus on reproducing kernels in vector-valued reproducing kernel Hilbert spaces. In particular, we extend reproducing kernels to relative reproducing kernels an...

A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic nose (e-nose) datasets. Being different from the existing multiple kernel extreme learning machine (MK-ELM) algorithms, the combination coeffi...

Introduction: The quality of CT images used for treatment planning of cancer patients is an important issue in accurate outlining of the tumor volume and organs at risk. Different kernels in CT scanner systems are available for improving the image quality. Applying these kernels  on   CT  images  will  change   the   CT  numbers  and  electron   density   of   tissues, conse...

Let T1, T2 be two singular integral operators with nonsmooth kernels introduced by Duong and McIntosh. In this paper, establishing certain bi-sublinear sparse dominations, the authors obtain some quantitative bounds on L p ( R n , w ) ∈ 1 ∞ A for composite operator T 2 . Some weighted weak type endpoint estimates are also given.