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We propose a semi-informative aware approach using the topic model on query expansion problem in the biomedicine domain. the demographics and disease information is applied to semi-structure the topic model as the “known” label, compared to the traditional latent topics in topic modelling. Then, we suggest to select three terms from the top ranked documents to expand the query, based on the assumption...
The fixed number of reference neighbors leads to mutable prediction errors and low overall accuracy for various unknown instances, according to existing k-NN methods. To address this problem, a bagging-based k-NN numeric prediction algorithm with attribute selection is proposed. Within each training procedure, a set of base k-NN predictors are built iteratively in terms of different bootstrap sampling...
This article describes how to use a three-dimensional MODFLOW model, paired with MT3D, to predict groundwater pollution caused by oil pipeline leakage. Then using geological and hydraulic data, the potential area of oil pollutant transport and its concentration were simulated by MODFLOW and MT3D, making it possible to ultimately predict the scope and extent of groundwater pollution. The model is a...
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