![Statistics / Semi-supervised learning / Document classification / Expectation–maximization algorithm / Supervised learning / K-means clustering / Word-sense disambiguation / Concept learning / Statistical classification / Machine learning / Computational statistics / Artificial intelligence Statistics / Semi-supervised learning / Document classification / Expectation–maximization algorithm / Supervised learning / K-means clustering / Word-sense disambiguation / Concept learning / Statistical classification / Machine learning / Computational statistics / Artificial intelligence](https://www.pdfsearch.io/img/4d4531f4adf6468fe7bec847c5496b7c.jpg)
| Document Date: 2015-04-02 16:06:46 Open Document File Size: 224,79 KBShare Result on Facebook
Company Google / / / IndustryTerm online glossaries / classification em algorithm / structural search / search queries / Web document classification task / opendomain web-scale information extraction problems / on-line glossaries / / Organization Carnegie Mellon University / AKBC Problems William W. Cohen School / / Person J. Betteridge / E. R. Hruschka / Jr. / T. M. Mitchell / E. R. Hruschka Jr / A. Carlson / T. P. Mohamed / NELL KB / R. C. Wang / / Position representative / von Mises-Fisher / / ProgrammingLanguage HTML / / Technology 2 Algorithm / http / 1 Generic Exploratory Learning Algorithm / GLOFIN algorithm / classification em algorithm / Machine learning / seeded spherical K-Means algorithm / Structural EM algorithm / flat exploratory KMeans algorithm / HTML / semi-supervised EM algorithm / SSL / EM algorithm / Exploratory EM algorithm / / URL www.cs.cmu.edu/˜bbd/exploratory_learning / /
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