Symbolic execution based test generation has made progress in recent years. However, in order to scale to larger programs there are some issues to be solved. Among them, generating a set of feasible paths to achieve h...
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Vibration caused by friction is harmful to engineering systems. Understanding the mechanism of such a physical phenomenon and developing some strategies to effectively control the vibration have both theoretical and p...
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Augmented Reality Digital Entertainment System uses Augmented Reality technology in the field of digital entertainment. It merges the virtual scene produced by computer and the reality world scene into a whole perfect...
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Positive and unlabelled learning (PU learning) has been investigated to deal with the situation where only the positive examples and the unlabelled examples are available. Most of the previous works focus on identifyi...
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ISBN:
(纸本)9781577355120
Positive and unlabelled learning (PU learning) has been investigated to deal with the situation where only the positive examples and the unlabelled examples are available. Most of the previous works focus on identifying some negative examples from the unlabelled data, so that the supervised learning methods can be applied to build a classifier. However, for the remaining unlabelled data, which can not be explicitly identified as positive or negative (we call them ambiguous examples), they either exclude them from the training phase or simply enforce them to either class. Consequently, their performance may be constrained. This paper proposes a novel approach, called similarity-based PU learning (SPUL) method, by associating the ambiguous examples with two similarity weights, which indicate the similarity of an ambiguous example towards the positive class and the negative class, respectively. The local similarity-based and global similarity-based mechanisms are proposed to generate the similarity weights. The ambiguous examples and their similarity-weights are thereafter incorporated into an SVM-based learning phase to build a more accurate classifier. Extensive experiments on real-world datasets have shown that SPUL outperforms state-of-the-art PU learning methods.
In the context of test data generation, symbolic execution gets more attention as computing power increases continuously. Experiments show that test generation tools based on symbolic execution can get high coverage a...
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In the present High-Temperature Superconducting (HTS) maglev vehicle system, the air gaps between the adjacent permanent magnets make the magnetic fields above the NdFeB guideway non-uniform. So one is required to stu...
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The levitation force of the YBCO bulk over an NdFeB guideway used in the high-temperature superconducting (HTS) maglev vehicle system is oscillated by the application of the AC external magnetic field. In our previous...
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How to make mobile manipulator autonomously identify and locate target object in unknown environment, this is a very challenging question. In this paper, a multi-sensor fusion method based on camera and laser range fi...
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Handoff block rate is a very important QoS (Quality of Service) indicator in mobile communication. In hard handoff, the conventional method of reducing handoff block is to reserve some channels especially for handoff ...
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Augmented Reality Digital Entertainment System uses Augmented Reality technology in the field of digital *** merges the virtual scene produced by computer and the reality world scene into a whole *** the scene is disp...
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Augmented Reality Digital Entertainment System uses Augmented Reality technology in the field of digital *** merges the virtual scene produced by computer and the reality world scene into a whole *** the scene is displayed on the HMD after computer *** can see the image clearly through HMD and interact with virtual *** choose the Video See-through HMD in experiment and propose a method for the no-markers’*** theory of coordinate transformation is analysised in3D registration and the coming development of Augmented Reality is talked about at last.
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