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According to industry experience, expertise and indepth research, a type of evaluation index system for undermine production of colliery safety is established. Fuzzy Hierarchy evaluation method is applied to determine the weights and scores of evaluation indexes and the grade of undermine production of colliery safety based on a large amount of statistical data of a stateowned colliery, and then suggestions...
The bilingual language corpus has a great effect on the performance of a statistical machine translation system. More data will lead to better performance. However, more data also increase the computational load. In this paper, we propose methods to estimate the sentence weight and select more informative sentences from the training corpus and the development corpus based on the sentence weight. The...
The performance of a statistical machine translation (SMT) system heavily depends on the quantity and quality of the bilingual language resource. However, the pervious work mainly focuses on the quantity and tries to collect more bilingual data. In this paper, we aim to optimize the bilingual corpus to improve the performance of the translation system. We propose methods to process the bilingual language...
As ontology is subjective and varies in different domains, the amount of ontologies turns out to be huge but with poor compatibility. Mainstream method for ontology integration is mostly achieved by establishing mappings between ontologies. In this essay, the author put forward another way of ontology merging. After statistic machine learning on concept relations, the frequency of different ontologies...
The performance of P2SP (peer-to-servers & peer) network and peer to peer (P2P) network is studied and compared in this paper. Two important key parameters are used to judge the performance: the time of file downloading and the speed of chunk propagation. The difference of the first parameter between P2SP and P2P has been studied first. P2SP has higher performance than P2P in two different assumptions...
A model based on texture feature and fuzzy logic algorithm was constructed to discriminate oil spills from look-alike phenomena in the SAR images. Statistics texture feature of SAR images were extracted and used as the input parameters in the fuzzy logic system. The texture features consisted of entropy second order, angular second moment, contrast and inverse difference moment of dark objects. The...
K-means is a widely-used clustering algorithm in data mining. In traditional algorithm, each feature is treated equally and each one gives the same contribution to K-means. In fact, redundant and irrelevant features may disturb the clustering result. This paper proposes a improved K-means algorithm based on a fuzzy feature selection strategy. The method is based on measuring 'feature important factor'...
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