Software quality engineering comprises of several quality assurance activities such as
testing, formal verification, inspection, fault tolerance, and software fault prediction. Until …

Feature selection plays an important role in pattern recognition and machine learning.
Feature evaluation and classification complexity estimation arise as key issues in the …

The performance of Nearest Neighbor (NN) classifier is known to be sensitive to the distance
(or similarity) function used in classifying a test instance. Another major disadvantage of NN …

A novel methodology is proposed in this paper to accelerate the computation of discrete
orthogonal image moments. The computation scheme is mainly based on a new image …

Pawlak's attribute dependency degree model is applicable to feature selection in pattern
recognition. However, the dependency degrees given by the model are often inadequately …

For continuous valued information systems, the attribute values of objects for the same
attribute represent not only their ordinal relationship but also their relative distances …

We propose a computer aided detection (CAD) system for the detection and classification of
suspicious regions in mammographic images. This system combines a dimensionality …

Measures of relevance between features play an important role in classification and
regression analysis. Mutual information has been proved to be an effective measure for …

利用邻域粗糙集对属性进行约简, 得到由财务指标和非财务指标构成的预警指标体系.
将其作为神经网络的输入变量对我国上市公司财务状况进行预测. 实证研究表明 …

Rough set has been widely used as a method of feature selection in fault diagnosis. The
neighborhood rough set model can deal with both nominal and numerical features, but …