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A Smoothing Method for a Statistical String Similarity | IEEE Conference Publication | IEEE Xplore

A Smoothing Method for a Statistical String Similarity


Abstract:

We often need to measure similarity between objective information when integrating information. We propose an algorithm in this paper for the Bayesian estimation of the p...Show More

Abstract:

We often need to measure similarity between objective information when integrating information. We propose an algorithm in this paper for the Bayesian estimation of the parameters of a statistical string similarity model. To do this we need a smoothing technique for the parameter estimation, because a string similarity model usually contains many parameters. We can make a parameter estimation for the statistical similarity model by introducing a Dirichlet prior. The experimental results show that the proposed method is effective enough for approximate matching.
Date of Conference: 13-15 August 2007
Date Added to IEEE Xplore: 04 September 2007
ISBN Information:
Conference Location: Las Vegas, NV, USA

References

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