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BACKGROUND Most machine-learning classifiers output label predictions for new instances without indicating how reliable the predictions are. The applicability of these classifiers is limited in critical domains where incorrect predictions have serious consequences, like medical diagnosis. Further, the default assumption of equal misclassification costs is(More)
Lots of error sources affect the microarray image quality, especially the noise. An image may contain different type noises which will produce distinct influence on image processing, so it doesn’t need to remove all. This paper analyzed the affection of different noises to automatic gridding and proposed grid line number for quantitive evaluation. A(More)
In many models of customer relationship management (CRM) analysis, RFM model is widely accepted. RMF model is an important tool to weigh customer value and customer profitability. To address this issue, this paper closely combines the rough set theory with neural network and uses rough set theory to process the random sample data from dataset. Then the data(More)
A method for simultaneous, nondestructive analysis of aminopyrine and phenacetin in compound aminopyrine phenacetin tablets with different concentrations has been developed by principal component artificial neural networks (PC-ANNs) on near-infrared (NIR) spectroscopy. In PC-ANN models, the spectral data were initially analyzed by principal component(More)
Military Automatic Target-scoring System can avoid the defects in efficiency, reliablity, safety, which exist in traditional counting system made by manpower, it can implement fast and precise counting. We take Chest silhouette as studying object, detail each selected method of image processing and image recognition in the Auto-counting System. In addition,(More)
The class imbalance problem is of great importance to network intrusion detection data. Previous studies on feature selection always evaluate the performance of feature selection process according to the model performance and the size of selected feature subset, which neglect the stability of feature selection. We investigate the problem of the stability of(More)
This paper employs the possibility-satisfiability method which has been widely recognized in the field of social-economic decision-making. In order to further improve the accuracy of decision-making, it also innovatively introduces the method of support vector machines based on the chaotic time series. This method is used to predict the high point and the(More)
An absolute calibrate of BOC signal transmitting channel on navigation satellite based on software defined radio is addressed. At first, the BOC navigation signal and the pulse per second (PPS) generated by navigation time keeping system are sampled synchronously. After the sampling data of BOC signal is preprocessed, a serial-to-parallel transform is done(More)
BACKGROUND Many computational approaches have been used for target prediction, including machine learning, reverse docking, bioactivity spectra analysis, and chemical similarity searching. Recent studies have suggested that chemical similarity searching may be driven by the most-similar ligand. However, the extent of bioactivity of most-similar ligands has(More)