The acquiring of sentence similarity has become a crucial step in graph-based multi-document summarization algorithms which have been intensively studied during the past decade. Previous algorithms generally considere...
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The graph-based ranking models have been widely used for multi-document summarization recently. By utilizing the correlations between sentences, the salient sentences can be extracted according to the ranking scores. ...
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Recent researches on data clustering is increasingly focusing on combining multiple data partitions as a way to improve the robustness of clustering solutions. Most of them focused on crisp clustering combination. Sem...
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The method of network coding has been proven a promising solution to fanin conflict problems (traffic flows conflicting at input ports) in multicast switches in previous work. However, this approach is inefficient whe...
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Hadoop is a distributed system infrastructure of cloudcomputing. Based on the characteristics of ant-based clustering algorithm, the paper implements the parallelization of this algorithm using MapReduce on Hadoop. T...
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In order to improve the mobile services under the banner of the Internet of Things, we propose and design a new kind of Web-based method of media seamless migration. The method can ensure the media seamless migration ...
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Computer-supported collab.rative learning (CSCL) is an emerging branch of learning science concerned with studying how people can learn together with the help of computers. As an indispensable ingredient, computer med...
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作者：
Tang, YuanYou, RonghuiSchool of Computer Science
School of Software Fudan University Shanghai Key Lab. of Intelligent Information Processing State Key Lab. of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China
It's important to hit a space-time balance for a real-world algorithm to achieve high performance on modern shared-memory multi-core or many-core systems. However, a large class of dynamic programs with more than ...
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With the development of high-speed railway, its security guarantee has received more and more attention. The railway track state is safety-critical and affected by many factors. The proposed approach focuses on establ...
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Clinical decision support is a probabilistic and quantitative method learning used for problem modeling in situations of ***,mathematical methods such as probability learning and statistical analysis is increasingly u...
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ISBN:
(纸本)9781509036202
Clinical decision support is a probabilistic and quantitative method learning used for problem modeling in situations of ***,mathematical methods such as probability learning and statistical analysis is increasingly used in the medical field to assure the accuracy of the diagnoses and optimize the *** study describes the design and implementation of an improved weighted Na?ve Bayes classifier based on the idea that there is a certain level of dependency between *** the coronary artery disease,clinical data and patients' medical records were used to train the improved Na?ve Bayes classifier to compute the possible disease manifestations,the priori probability and the posterior probability and to carry out the disease ***,we were able to improve the precision of the improved weighted Na?ve Bayes classifier to 79%(increase of 12% compared to Na?ve Bayes).The suitability of the improved Na?ve Bayes classifiers for carrying out diagnosis allows them to be utilized to distinguish syndromes and signs based on unobserved evidence.
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