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Binary relevance (BR) is a well-known framework for multi-label classification. It decomposes multi-label classification into binary (one-vs-rest) classification subproblems, one for each label. The BR approach is a simple and straightforward way for multi-label classification, but it still has several drawbacks. First, it does not consider label correlations. Second, each binary classifier may suffer...
To solve the problem of Deep Web query generation automatically, this paper first proposes a query interface criterion of Deep Web called S-LAV, ascertaining predecessor and successor relations between controls and utilizing them in controls grouping, constructing RIT model with a corresponding algorithm description. Then, the process of controls grouping is divided into 2 phases: control pre-clustering...
Multi-label learning is a hot spot in machine learning and data mining. The multi-label learning model can predict one or more labels for a test instance. PT5 is a effective method to solving multi-label learning problem, it is critical to set an optimal threshold in this method. More error labels will be predicted if a lower threshold was set, and the labels will be predicted not entire if a big...
At present, most e-commerce recommendation systems act only as just a single tool and provide a single recommendation model. However, due to the complexity of e-commerce system itself, different occasions and customers of different identities require different types of recommendation services. In the paper, we study the architecture of complex e-commerce which can collect multiple types of data, use...
Internet has developed so fast that networked learning is gradually becoming one important part of the modern education. With many great advantages such as the abundant shared resources, convenient communication and flexible collaboration, the networked learning community is now popular among the youth to make individual education. In this paper, networked learning community is introduced including...
Casualty relief in a disaster is one of the most important issues in emergency management. After the occurrence of a natural disaster, such as earthquakes, it is difficult to determine the precise casualty number due to lack of useful and effective information. In order to describe the uncertainty feature of the casualty, Scenario Analyze Method (SAM) is adopted, and multi-period robust optimization...
The management organization of the large-scale PKI (public key infrastructure) generally adopts the CRL (certificate revocation list) to collect the invalid digital certificates due to the password disclosure and expiration. It is the core issue that how to increase the distribution efficiency of CRL to decrease the deployment cost. In the paper, it discussed the feasibility of distributing the digital...
This paper proposes a method to develop the multinomial logit(MNL) model for a sequence of choices behavior that incorporates the probability of last choice in the current representative utility.The function of last probability could be additionally used as the coefficients of some part of observed component,while other alternative-specific coefficients are assumed to be variable only with their initial...
Almost existence literature about the inefficiency in traffic assignment assumes user is entirely selfishness. In this paper, assumed the users are not entirely selfishness, they are partially altruistic. The user’s perceived cost assumed to be a linear combination of selfish component and altruistic component. A variational inequality model is present to formulate the uniformly altruistic route choice...
The increasing availability of remote-sensing images, acquired periodically by satellite sensors on the same geographical area, makes it extremely interesting to develop monitoring systems capable of automatically producing and regularly updating forest-cover maps of the considered site. In this paper, we designed and developed new object-based change detection algorithms, which are aimed at updating...
Based on the basic symmetric two lane cellular automaton model (STCA), we propose a modified STCA (MSTCA) for mixed traffic flow. In MSTCA, the headway also could be used for lane changing, and then the length for safety criterion would be extended a lot. Lane changing region and first cell for lane changing on the other lane could be located. The situation while there are successive vehicles satisfies...
Thin film bulk acoustic resonator, grown based on the MEMS fabrication technology simultaneously, has become one of the most positive devices within the area of wireless communication application. FBAR has such distinct advantages as higher frequency, smaller volume, better power handling capabilities, higher Q-values and well compatibility with IC techniques. The paper briefly introduces the operational...
This paper provides a method for Web user access pattern mining based on kohonen neural network. User session vectors were first input to kohonen network, after training we found several clusters, compute the median of each cluster and characterize what the cluster represents with the URLs. When the online user requests URLs, a matching category is found according to the pages the user has accessed...
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