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In classification tasks, labeled data is a necessity but sometimes difficult or expensive to obtain. On the contrary, unlabeled data is usually abundant. Recently, different active learning algorithms are proposed to alleviate this issue by selecting the most informative data points to label. One family of active learning methods comes from Optimum Experimental Design (OED) in statistics. Instead...
In order to solve the time over-consuming problem caused by max-min ant system (MMAS) for solving large scale permutation flow shop scheduling problem (PFSP), a hybrid ant colony algorithm is proposed by incorporating the MMAS with taboo search algorithm based on PFSP's block properties. The new algorithm can reduce neighborhood by eliminating quantity of inferior solutions and can enhance global...
In this article an alarm information automatic classification system has been designed according to the situation that almost all alarm information in integrated emergency response system have been classified manually. The automatic classification system could make correct and rapid classification of the unstructured alarm information, and because it is unnecessary to do manual intervention in this...
In wireless sensor networks, balanced energy dissipation is crucial to achieving satisfactory network lifetime. Since all data packets usually have to be forwarded to the base station via multi-hop routing, the traffic pattern is highly non-uniform, putting a high burden on the sensor nodes close to the base station. This paper proposes novel centralized and distributed algorithms to efficiently balance...
Data enriching theories of commercial information are studied. The data enriching algorithm is defined: the optimization discernibility set is acquired by improving discernibility matrix first, and then the algorithm is called recursively by using frequency information of attribute, finally the enriching attribute set is found out. The algorithm is applied to data enriching of user access patterns...
For persons with severe disabilities, a brain-computer interface (BCI) may be a viable means of communication. Lapalacian electroencephalogram (EEG) has been shown to improve classification in EEG recognition. In this work, the effectiveness of signals from tripolar concentric electrodes and disc electrodes were compared for use as a BCI. Two sets of left/right hand motor imagery EEG signals were...
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