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In this paper a new approach for the rules conflict problem is presented. The problem is discussed related to use of inductive learning systems generated rules. The rules conflict problem occurs when two or more rules cover the same test example but predict different classes. The common strategy for preferring one of the conflicting rules is the best rule strategy: for each rule a "weight"...
Classification of the numerical data is a very important research topic in machine learning. But the incomplete data is very common in real world application. And the existence of incomplete data degrades the learning quality of classification models. But the existence of incomplete data always decrease the quality of classification models, To show the definition of missing data more intuitively,...
Real-world surface texture generally comprises rough geometry and various reflectance properties, which can dramatically change its appearance under different illumination directions, namely 3D surface texture. Thus, traditional methods for super resolution of 2D texture images cannot be directly used to generate 3D surface texture with higher resolution. This paper presents an efficient method for...
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