copula functions are powerful tools that describe dependence structure of multi- dimension random variables and are considered as one of the newest tools for risk management. one application of copula functions in risk management is calculating value at risk that can assert is the most widely used risk measures in financial institutions. in this article which primary goal is estimating more acc...

A new genuinely multi-dimensional relaxation scheme is proposed. Based on a new discrete velocity Boltzmann equation, which is an improvement over previously introduced relaxation systems in terms of isotropic coverage of the multi-dimensional domain by the foot of the characteristic, a finite volume method is developed in which the fluxes at the cell interfaces are evaluated in a genuinely mul...

we define and studyco-noetherian dimension of rings for which the injective envelopeof simple modules have finite krull-dimension. this  is a moritainvariant dimension that measures how far the ring is from beingco-noetherian. the co-noetherian dimension of certain rings,including commutative rings, are determined. it is shown that the class ${mathcal w}_n$ of rings with co-noetherian dimension...

Heterogeneous Multi-Population Cultural Algorithm (HMP-CA) is a new class of Multi-Population Cultural Algorithms which incorporates a number of local Cultural Algorithms (CAs) designed to optimize different subsets of the dimensions of a given problem. In this article, various dimension decomposition techniques for HMP-CAs are proposed and compared. The concept of using a dimension decompositi...

Multi-label classification is an appealing and challenging supervised learning problem, where multiple labels, rather than a single label, are associated with an unseen test instance. To remove possible noises in labels and features of high-dimensionality, multi-label dimension reduction has attracted more and more attentions in recent years. The existing methods usually suffer from several pro...

The soft fault diagnosis of nonlinear analog circuits is an important guarantee of the stable and reliable operation of electronic products. In view of the low accuracy and heavy computation load of current soft fault diagnosis methods for nonlinear analog circuits, this paper presents a soft fault diagnosis method for nonlinear analog circuits based on fractal theory. Analyzing the single-frac...

There are several auxiliary pre-computed access structures that allow faster answers by reading less base data. Examples are materialized views, join indexes, B-tree and bitmap indexes. This paper proposes dimension-join, a new type of index especially suited for data warehouses. The dimension-join borrows ideas from several concepts. It is a bitmap index, it is a multi-table join and when bein...

A significant challenge to make learning techniques more suitable for general purpose use is to move beyond i) complete supervision, ii) low dimensional data, iii) a single task and single view per instance. Solving these challenges allows working with “Big Data” problems that are typically high dimensional with multiple (but possibly incomplete) labelings and views. While other work has addres...