Cyber attacks on computer and network systems induce system quality and reliability problems, and present a significant threat to the computer and network systems that we are heavily dependent on. Cyber attack detection involves monitoring system data and detecting the attack-induced quality and reliability problems of computer and network systems caused by cyber attacks. Usually there are ongo...

For the problem of processing top-N queries, the threshold algorithm (TA) is an important method in many scenarios. The model of top-N queries with TA has three characteristics: (1) the ranking function is monotone, (2) the query point is fixed, and (3) TA scans the sorted index lists unidirectionally. In many database applications, however, there are opportunities for evaluating top-N queries ...

Introducing contravariant trace-densities for quantum states on semifinite algebras, we restore one to one correspondence between quantum operations described by normal CP maps and their trace densities as Hermitian positive operator-valued contravariant kernels. The CB-norm distance between two quantum operations with type one input algebras is explicitly expressed in terms of these densities,...

We determine the Weierstrass semigroup of a pair of rational points on Norm-Trace curves. We use this semigroup to improve the lower bound on the minimum distance of two-point algebraic geometry codes arising from these curves.

We prove that the 2-norm distance from an nn matrix A to the matrices that have a multiple eigenvalue is equal to rsep (A) = max 0 2n?1

The least upper bound for the norm distance between two normal matrices is given in terms of their eigenvalues exclusively, thus solving a problem which appears to be long open.

We present a system to normalize Spanish tweets, which uses preprocessing rules, a domain-appropriate edit-distance model, and language models to select correction candidates based on context. The system’s results at SEPLN 2013 Tweet-Norm task were above-average.

By setting apart the two functions of a support vector machine: separation of points by a nonlinear surface in the original space of patterns, and maximizing the distance between separating planes in a higher dimensional space, we are able to deene indeenite, possibly discontinuous, kernels, not necessarily inner product ones, that generate highly nonlin-ear separating surfaces. Maximizing the ...

MOTIVATION Clustering has been used as a popular technique for finding groups of genes that show similar expression patterns under multiple experimental conditions. Many clustering methods have been proposed for clustering gene-expression data, including the hierarchical clustering, k-means clustering and self-organizing map (SOM). However, the conventional methods are limited to identify diffe...