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2019 Journal Article PrefaceAvrachenkov, Konstantin, Prałat, Paweł and Ye, Nan (2019). Preface. Lecture Notes in Computer Science, 11631 LNCS. |
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2019 Book Chapter Optimization methods for inverse problemsYe, Nan, Roosta-Khorasani, Farbod and Cui, Tiangang (2019). Optimization methods for inverse problems. 2017 MATRIX annals. (pp. 121-140) edited by David R. Wood, Jan de Gier, Cheryl E. Praeger and Terence Tao. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-04161-8_9 |
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2019 Conference Publication Maximum entropy approaches for inverse reinforcement learningSnoswell, A. J., Singh, S. P. N. and Ye, N. (2019). Maximum entropy approaches for inverse reinforcement learning. INFORMS-APS, Brisbane, Australia, 3-5 July 2019. |
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2019 Conference Publication POMDPs for sustainable fishery managementFilar, Jerzy A., Qiao, Zhihao and Ye, Nan (2019). POMDPs for sustainable fishery management. International Congress on Modelling and Simulation, Canberra, Australia, 1-6 December 2019. Modelling and Simulation Society of Australia and New Zealand. doi: 10.36334/modsim.2019.g2.filar |
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2018 Journal Article A framework for solving explicit arithmetic word problems and proving plane geometry theoremsYu, Xinguo, Wang, Mingshu, Gan, Wenbin, He, Bin and Ye, Nan (2018). A framework for solving explicit arithmetic word problems and proving plane geometry theorems. International Journal of Pattern Recognition and Artificial Intelligence, 33 (7) 1940005, 1940005. doi: 10.1142/S0218001419400056 |
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2017 Conference Publication Modelling imperfect presence data obtained by citizen scienceMengersen, Kerrie, Peterson, Erin E., Clifford, Samuel, Ye, Nan, Kim, June, Bednarz, Tomasz, Brown, Ross, James, Allan, Vercelloni, Julie, Pearse, Alan R., Davis, Jacqueline and Hunter, Vanessa (2017). Modelling imperfect presence data obtained by citizen science. 26th Annual Conference of the International-Environmetrics-Society (TIES), Riccarton, Scotland, 18-22 July 2016. Oxford, United Kingdom: John Wiley & Sons. doi: 10.1002/env.2446 |
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2017 Journal Article DESPOT: Online POMDP Planning with RegularizationYe, Nan, Somani, Adhiraj, Hsu, David and Lee, Wee Sun (2017). DESPOT: Online POMDP Planning with Regularization. The Journal of Artificial Intelligence Research, 58, 231-266. doi: 10.1613/jair.5328 |
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2017 Conference Publication Tensor belief propagationWrigley, Andrew, Lee, Wee Sun and Ye, Nan (2017). Tensor belief propagation. 34th International Conference on Machine Learning, Sydney, NSW, Australia, 6-11 August 2017. San Diego, CA, United States: JMLR.org. |
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2016 Conference Publication Robustness of Bayesian pool-based active learning against prior misspecificationCuong, Nguyen Viet, Ye, Nan and Lee, Wee Sun (2016). Robustness of Bayesian pool-based active learning against prior misspecification. Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ, United States, 12-17 February 2016. Palo Alto, CA, United States: AAAI Press. |
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2015 Conference Publication Intention-aware online POMDP planning for autonomous driving in a crowdBai, Haoyu, Cai, Shaojun, Ye, Nan, Hsu, David and Lee, Wee Sun (2015). Intention-aware online POMDP planning for autonomous driving in a crowd. 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA United States, 26-30 May 2015. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICRA.2015.7139219 |
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2014 Conference Publication Near-optimal adaptive pool-based active learning with general lossNguyen Viet Cuong, Lee, Wee Sun and Ye, Nan (2014). Near-optimal adaptive pool-based active learning with general loss. 30th Conference on Uncertainty in Artificial Intelligence (UAI), Quebec City, Canada, 23-27 July 2014. Arlington, VA, United States: AUAI Press. |
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2014 Journal Article Conditional random field with high-order dependencies for sequence labeling and segmentationNguyen Viet Cuong, Ye, Nan, Lee, Wee Sun and Chieu, Hai Leong (2014). Conditional random field with high-order dependencies for sequence labeling and segmentation. Journal of Machine Learning Research, 15, 981-1009. |
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2014 Conference Publication Goal detection for broadcast basketball video using superimposed texts: A transition pattern approachDing, Wan, Yu, Xinguo and Ye, Nan (2014). Goal detection for broadcast basketball video using superimposed texts: A transition pattern approach. ICIMCS '14: International Conference on Internet Multimedia Computing and Service, Xiamen, China, 10-12 July 2014. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2632856.2632859 |
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2013 Conference Publication DESPOT: Online POMDP planning with regularizationSomani, Adhiraj, Ye, Nan, Hsu, David and Lee, Wee Sun (2013). DESPOT: Online POMDP planning with regularization. Advances in Neural Information Processing Systems 26 (NIPS 2013), Lake Tahoe, NV, United States, 5-10 December 2013. Neural information processing systems foundation. |
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2013 Conference Publication Active learning for probabilistic hypotheses using the maximum Gibbs error criterionNguyen, Viet Cuong, Lee, Wee Sun, Ye, Nan, Chai, Kian Ming A. and Chieu, Hai Leong (2013). Active learning for probabilistic hypotheses using the maximum Gibbs error criterion. NIPS'13: 26th International Conference on Neural Information Processing Systems, Lake Tahoe, NV, United States, 5-10 December 2013. Red Hook, NY, United States: Curran Associates. doi: 10.5555/2999611.2999774 |
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2012 Conference Publication Optimizing F-measures: A tale of two approachesYe, 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. |
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2009 Conference Publication Learning from streamsJain, 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 |
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2009 Conference Publication Conditional random fields with high-order features for sequence labelingYe, 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. |
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2009 Conference Publication Prescribed learning of r.e. classesJain, 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 |
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2009 Conference Publication Domain adaptive bootstrapping for named entity recognitionWu, 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 |
