Text clustering is a fundamental task that finds groups of similar texts in the corpus. Deep learning based models can capture the semantic and syntactic information in local word sequences to represent the texts but ...
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The interactive behavior of comments within the user group on microblog website is bidirectional and dynamic, reflecting the level of familiarity among users. Predicting the future comment interaction behavior within ...
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Propaganda information that aims at influencing people's opinions is becoming more and more common around people, especially through social media. For the detection of propaganda content, researchers have conducte...
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A quality-of-service(QoS)aware scheme,called precautionary performance monitoring,is proposed to solve the optical impairments and congestion control in coherent optical orthogonal frequency division multiplexed(CO...
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A quality-of-service(QoS)aware scheme,called precautionary performance monitoring,is proposed to solve the optical impairments and congestion control in coherent optical orthogonal frequency division multiplexed(CO-OFDM)*** centralized path computation element(PCE)extensions based on the QoS level are applied to optical performance monitoring in this letter.
With the advent of online chatting systems, conversation structure modeling has attracted increasing attention and can be beneficial to many downstream tasks such as topic summarization and dialog generation. Existing...
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Recently, the global air traffic has increased rapidly, most passengers choose to buy tickets in their own experiences. So accurately predicting flight ticket price is of great significance. Recently there exist some ...
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Insider threat makes enterprises or organizations suffer from the loss of property and the negative influence of reputation. User behavior analysis is the mainstream method of insider threat detection, but due to the ...
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Tree pruning is an effective algorithm to reduce the complexity of sphere detection (SD) for multiple-input multiple-output (MIMO) communication systems. How to determine the tree pruning rule, as well as by what ...
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Tree pruning is an effective algorithm to reduce the complexity of sphere detection (SD) for multiple-input multiple-output (MIMO) communication systems. How to determine the tree pruning rule, as well as by what the tradeoff between the performance and the complexity can be achieved, is still an open problem. In this paper, a tree pruning algorithm is proposed based on minimum mean square error (MMSE) detection. The proposed algorithm first preforms MMSE detection since the complexity of MMSE detection is very low. Then the pruning constraints will be set according to the scaled path metrics of the MMSE solution. The choice of the scale factors and their influences on the complexity and performance are also discussed. Through analysis and simulations, it is shown that the complexity is reduced significantly with negligible performance degradation and additional computations.
Social recommendation has been recently proposed by incorporating trust relationship to alleviate data-sparsity and cold-start problems. However, most of existing works only focus on friends different contribution to ...
With the continuous development of information technology, security issues from internal networks are becoming more and more important. Many anomaly detection algorithms are designed to identify anomalies, but these a...
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