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Statistical Models for Frequent Terms in Text
Edoardo M. Airoldi
出版
Carnegie Mellon University. Center for Automated Learning and Discovery
, 2004
URL
http://books.google.com.hk/books?id=ZnXGNwAACAAJ&hl=&source=gbs_api
註釋
Abstract: "In this paper we present statistical models for text which treat words with higher frequencies of occurrence in a sensible manner, and perform better than widely used models based on the multinomial distribution on a wide range of classification tasks, with two or more classes. Our models are based on the Poisson and Negative-Binomial distributions, which keep desirable properties of simplicity and analytic tractability."