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At present, it is a great challenge that solving high-dimension and text sparsity problems in short text classification. To resolve these problems, this paper proposes a method which takes the correlation between lexical items and tags before completing Latent Dirichlet Allocation(LDA) topic model. Meanwhile, this paper adjusts parameters of Support Vector Machine(SVM) to find the optimal values by...
Graphical models and the corresponding linear structural equation model can be used as a mathematical language for describing a causal-effect relationship. A common problem is argued about which covariates in the diagram should be used to estimate the causal effects. The primary aim of this paper is to show different covariates selection for estimating the causal effects and we evaluated the asymptotic...
Relative risk plays an important role in identifying and assessing diseases in the case-control association study, but the homogeneity and heterogeneity of the RR is often ignored in M stratum 2*2 tables and cohort (2*k tables) studies. This paper proposes a hypothesis test for homogeneity and heterogeneity of the RR based on the M-H methods.
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