A new sample preprocessing method is put forward in this paper. Firstly, the data points are classified into three types as the following: the high load type, the medium load type and the low load type;then, the artif...
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Since its introduction, rough set theory has demonstrated its usefulness in many applications where imprecise and inconsistent information is involved. An important area of its application is in the induction of decis...
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Attribute reduction is often used in simplifying decision table in rough set, but as far as a specific rule is concerned attribute value reduction. In this paper, through analyzing the nature of reduction, we have obt...
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In this paper, we propose an improved ant algorithm for job scheduling in grid computing. The new algorithm is based on the general ant adaptive scheduling heuristics and an added in load balancing guide component. Th...
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This paper presents a novel approach for palmprint recognition based on the valley features. This approach uses the bothat operation to extract the valleys from a very low-resolution palm image in different directions...
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In this paper, a new image classification method is developed. This approach applies graph decomposition and probabilistic neural networks(PNN) to the task of supervised image classification. We use relational graphs ...
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A small scale distributed computing system that is able to meet the needs of parallel intelligent techniques for engineering and science applications is reported in this paper. The reported system is a cluster of gene...
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Person description extraction is an important task in biography generation, question answering and summarization, etc. While most of the previous extraction methods mainly depended on structural information, the work ...
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This paper proposes a new method, minimum risk approach, to address the local path planning to escape from local minimum during goal-oriented robot navigation in unknown environments. This approach is theoretically pr...
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Regarding to the daily load forecasting, the sample selection and data preprocessing are crucial to its' precision. In this paper, the grey relation analysis method is adopted to search the historical data points ...
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