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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...
As an extremely powerful probability model, Gaussian mixture model (GMM) has been widely used in fields of pattern recognition, information processing and data mining. If the number of the Gaussians in the mixture is pre-known, the well-known Expectation-Maximization (EM) algorithm could be used to estimate the parameters in the Gaussian mixture model. However, in many practical applications, the...
Path planning for robots with many degrees of freedom (dof) receives continuous interest in both robotics and computer graphics communities. A variety of random sampling-based methods have been proposed to solve the path planning problems in high-dimensional configuration space, including Probabilistic Roadmap Method (PRM) and Rapidly-exploring Random Trees (RRTs). However, the efficiency will be...
Association rules mining is an important task in data mining and the normal measures support and confidence are useful for finding association rules between the items. However, the process of finding frequent items would prune infrequent items which may include some useful relationships of association patterns. The new measures comsup, comcof and comsup' are proposed to resolve this problem effectively...
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