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A lot of studies provide strong evidence that traditional predictive regression models face significant challenges in out-of sample predictability tests due to model uncertainty and parameter instability. Recent studies introduce particular strategies that overcome these problems. Support Vector Machine (SVM) is a relatively new learning algorithm that has the desirable characteristics of the control...
With the flourish of the Web, online review is become a more and more useful and important information resource for people. As a result, automatic review mining has become a hot research topic recently. Traditional review mining based on feature extracts product feature and opinion word independently, and seldom considers their association information. In this paper, we only focus on Chinese product...
In this work, we adopt Apriori Algorithm to explore the relationship between treatment preferences and survival of breast cancer patient based on other medical attributes. The SEER Public-Use Data 2005 is used in this research. After the preprocessing of the dataset, we apply Apriori algorithm of Association Rules. As a result, we obtain a great deal of association rules related. We pick up some easy...
In this study, we firstly take good advantage of SEER Public-Use Data to predict breast cancer recurrence using data mining techniques. The SEER Public-Use Data 2005 is used in this research. We presented a new data pre-classification method and firstly find a possible solution to discover the information of breast cancer recurrence of SEER data. After the preprocessing of the dataset, we investigate...
Pair-wise testing is widely used to detect faults in software systems. In many applications where pair-wise testing is needed, the whole test set can not be run completely due to time or budget constraints. In these situations, it is essential to prioritize the tests. In this paper, we drive weight for each value of each parameter, and adapt UWA algorithm to generate an ordered pair-wise coverage...
A uniaxial compression scan test for coal specimen with the industrial computer tomography (ICT) equipment and the loading system were carried out. Clear CT images were obtained which indicate development of microcracks within the coal specimen at different stress stage. The CT image intensity of neighborhood of every pixel is well estimated by least squares support vector machines (LS-SVM) and the...
Reinforced concrete (RC) can work normally in actual engineering, which depends on well interfacial bond strength between reinforcing steel bar and concrete. Interfacial debonding is one of the main damage forms for RC and its structure. Relative sliding or interfacial debonding may occur under external loading, especially cyclic loading. Cyclic loading exists in many projects, for example, ocean...
The maximum of earthquake affecting coefficient is a main parameter of earthquake response spectra, which is the key of seismic microzonation and design of earthquake resistant structures. Because the distribution of the maximum of earthquake affecting coefficient is controlled by basement rock and site condition, the relationship between the maximum of earthquake affecting coefficient and influencing...
In the paper, a similarity based ant-colony algorithm (SACO) is proposed for the permutation flowshop scheduling problems with total flowtime minimization, which is known as NP-hard. By applying the space mapping method which is testified to be reasonable, it is proved theoretically that the deposit factor rho has hardly impact on the ACO evolutionary availability, and rho = 0.5 is reasonable for...
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