Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior - researchr publication

researchr

You are not signed in
Sign in
Sign up

Issei Sato, Hiroshi Nakagawa. Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior. In Pavel Berkhin, Rich Caruana, Xindong Wu, editors, Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007. pages 590-598, ACM, 2007. [doi]

Abstract is missing.

runs on WebDSL