Andrew Dai

 
 

I work under the supervision of Amos Storkey concentrating most heavily in the area of statistical relational learning and nonparametric Bayes applied to the areas of identity disambiguation or entity resolution.

I’m also a tutor for the MLPR (Machine Learning and Probabilistic Reasoning) course.


Andrew Dai and Amos Storkey. “The Grouped Author-Topic Model for Unsupervised Entity Resolution.” In Proceedings of the 21st International Conference on Artificial Neural Networks (ICANN, 2011), Helsinki. The original publication is available at www.springerlink.com

Klaus Macherey, Andrew Dai, David Talbot, Ashok Popat and Franz Och. “Language-Independent Compound Splitting with Morphological Operations.” In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-11).

Andrew Dai and Amos Storkey. “Author Disambiguation: A Nonparametric Topic and Co-authorship Model.” In Proceedings of the NIPS Workshop on Applications for Topic Models: Text and Beyond, Whistler, Canada, 2009.

An introduction
  1. Bullet Graphical models

  2. Bullet Boltzmann machines

  3. Bullet Statistical relational learning

  4. Bullet Dirichlet processes

  5. Bullet Topic models



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