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In this paper, we argue that for a C-class classification problem, C 2-class classifiers, each of which discriminating one class from the other classes and having a characteristic input feature subset, should in general outperform, or at least match the performance of, a C-class classifier with one single input feature subset. For each class, we select a(More)
BACKGROUND Since the single nucleotide polymorphisms (SNPs) are genetic variations which determine the difference between any two unrelated individuals, the SNPs can be used to identify the correct source population of an individual. For efficient population identification with the HapMap genotype data, as few informative SNPs as possible are required from(More)
Single nucleotide polymorphisms (SNPs) are genetic variations that determine the differences between any two unrelated individuals. Various population groups can be distinguished from each other using SNPs. For instance, the HapMap dataset has four population groups with about ten million SNPs. For more insights on human evolution, ethnic variation, and(More)
AbstrAct This chapter introduces an approach to class-dependent feature selection and a novel support vector machine (SVM). The relative background and theory are presented for describing the proposed method, and real applications of the method on several biomedical datasets are demonstrated in the end. The authors hope this chapter can provide readers a(More)
In this paper, we attempt to answer the following question with systematic computer simulations: for the same validation error rate, does the size of a feedforward neural network matter? This is related to the so-called Occam's Razor, that is, with all things being equal, the simplest solution is likely to work the best. Our simulation results indicate that(More)
In this work, we propose to jointly perform Chinese word segmentation (CWS) and punctuation prediction (PU) in a unified framework using deep recurrent neural network (DRNN). We further perform a comparative study among the joint frameworks, the isolated prediction and the pipeline methods that link the two tasks sequentially, on a social media corpus. Our(More)
  • Nina Zhou
  • 2012
Fuzzy controller obtains better control effect when it deals with the nonlinear and time-variable system. A new kind of adaptive fuzzy controller is designed based on normal fuzzy controller; adaptive structure of the model is achieved by fuzzy arithmetic, it makes the system keep optimal state or approximate optimal state. The result shows the output(More)