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2012

Conference Publication

Optimizing F-measures: A tale of two approaches

Ye, Nan, Chai, Kian Ming A., Lee, Wee Sun and Chieu, Hai Leong (2012). Optimizing F-measures: A tale of two approaches. 29th International Conference on Machine Learning, ICML 2012, Edinburgh, United Kingdom, 26 June - 1 July 2012. New York, NY United States: Association for Computing Machinery.

Optimizing F-measures: A tale of two approaches

2009

Conference Publication

Learning from streams

Jain, Sanjay, Stephan, Frank and Ye, Nan (2009). Learning from streams. 20th International Conference of Algorithmic Learning Theory ALT 2009, Porto, Portugal, 3-5 October 2009. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-04414-4_28

Learning from streams

2009

Conference Publication

Conditional random fields with high-order features for sequence labeling

Ye, Nan, Lee, Wee Sun, Chieu, Hai Leong and Wu, Dan (2009). Conditional random fields with high-order features for sequence labeling. 23rd Annual Conference on Neural Information Processing Systems 2009, Vancouver, Canada, 7-10 December 2009. Curran Associates.

Conditional random fields with high-order features for sequence labeling

2009

Conference Publication

Prescribed learning of r.e. classes

Jain, Sanjay, Stephan, Frank and Ye, Nan (2009). Prescribed learning of r.e. classes. 18th International Conference on Algorithmic Learning Theory, Sendai, Japan, 1-4 October 2007. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.tcs.2009.01.011

Prescribed learning of r.e. classes

2009

Conference Publication

Domain adaptive bootstrapping for named entity recognition

Wu, Dan, Lee, Wee Sun, Ye, Nan and Chieu, Hai Leong (2009). Domain adaptive bootstrapping for named entity recognition. 2009 Conference on Empirical Methods in Natural Language Processing, Singapore, 6 - 7 August 2009. Stroudsburg, PA United States: Association for Computational Linguistics. doi: 10.3115/1699648.1699699

Domain adaptive bootstrapping for named entity recognition

2008

Conference Publication

On preprocessing and antisymmetry in de novo peptide sequencing: Improving efficiency and accuracy

Ning, Kang, Ye, Nan and Leong, Hon Wai (2008). On preprocessing and antisymmetry in de novo peptide sequencing: Improving efficiency and accuracy. Computational Systems Bioinformatics 2007, San Diego, CA United States, 13-17 August 2007. London, United Kingdom: World Scientific Publishing. doi: 10.1142/S0219720008003503

On preprocessing and antisymmetry in de novo peptide sequencing: Improving efficiency and accuracy

2007

Conference Publication

Prescribed learning of R.E. classes

Jain, Sanjay, Stephan, Frank and Ye, Nan (2007). Prescribed learning of R.E. classes. 18th International Conference on Algorithmic Learning Theory, Sendai Japan, 1-4 October 2007. Berlin, Germany: Springer. doi: 10.1007/978-3-540-75225-7_9

Prescribed learning of R.E. classes