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Sparse Bayesian learning (SBL) and relevance vector machines(RVM) have received much attention in the machine learning, which as a means of achieving regression. The methodology relies on a parameterized prior that encourages models with few non-zero weights. In this paper, we present a new and efficient algorithm which exploits properties of the marginal likelihood function to enable maximisation...
Chinese word segmentation is an important foundation for Chinese information processing. This paper proposes a new Chinese word segmentation model based on Bayesian network. In this model, Character alignment Viterbi algorithm, which treats the preceding word of each Chinese character as its state, and the N-gram probability as its state transition probability, is suggested to be combined with Viterbi...
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