Although biometrics technology has progressed substantially, its performance is still to be improved for real applications. This paper aims to improve the accuracy of personal identification, when only single sample i...
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In an open distributed environment, protection of sensitive files and data becomes more difficult. Traditional access control mechanisms are not suitable for such dynamic environment. Trust can be an effective approac...
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Server consolidation is becoming an increasingly popular technique to manage and utilize system [1]. In server consolidation, multiple server workloads are deployed onto Virtual Machines (VMs), which then run on a sin...
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We report on the staging of the third competition on knowledge engineering for AI planning and scheduling systems, held during ICAPS-09 at Thessaloniki, Greece, in September 2009. We give an overview of how the compet...
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In this paper we develop an approach to tackle the problem of verb selection for learners of English as a second language (ESL) by using features from the output of Semantic Role Labeling (SRL). Unlike existing approa...
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The paper established a differential equation of a new vibration screen which with a monaxial vibration motor was set transversely. Based on Particle Swarm Optimization(PSO), the equation was analysed, and the motion ...
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In this paper, we propose a semi-supervised text classification approach for bug triage to avoid the deficiency of labeled bug reports in existing supervised approaches. This new approach combines naive Bayes classifi...
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ISBN:
(纸本)1891706268
In this paper, we propose a semi-supervised text classification approach for bug triage to avoid the deficiency of labeled bug reports in existing supervised approaches. This new approach combines naive Bayes classifier and expectationmaximization to take advantage of both labeled and unlabeled bug reports. This approach trains a classifier with a fraction of labeled bug reports. Then the approach iteratively labels numerous unlabeled bug reports and trains a new classifier with labels of all the bug reports. We also employ a weighted recommendation list to boost the performance by imposing the weights of multiple developers in training the classifier. Experimental results on bug reports of Eclipse show that our new approach outperforms existing supervised approaches in terms of classification accuracy.
This paper describes the evolution of a software testing effort during a critical period for the flagship Mars Science Laboratory rover project at the Jet Propulsion Laboratory. Formal specification for post-run analy...
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Sparse representation has widely been used, in image processing, such asimage enhancement. Redundant dictionaries learned, from, a, class of images canmodel the structure of images, then we can efficiently separate no...
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With the rapid development of e-business, web applications based on the Web have developed rapidly. Not only functional but also nonfunctional properties, also known as quality of service(QoS), is becoming the key to ...
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