Publications

Research Interest

• Statistical Machine Learning and Computing, Artificial Intelligence
• Regularized Nonparametric methods, Kernel Methods
• Operations Research, Optimization Techniques, Mathematical Programming

Xiwen Ma, Bin Dai , R. Klein, B.E.K.Klein, K.Lee and Grace Wahba. Penalized Likelihood Regression in Reproducing Kernel Hilbert Spaces with Randomized Covariate Data. TR1158, April 2010. (PDF)

Xiwen Ma, Grace Wahba and Bin Dai. Penalized Likelihood Regression in Reproducing Kernel Hilbert Spaces with Randomized Covariate Non-Gaussian Data. Finalist in 2009 ASA Nonparametric Statistic Section student paper competition. To appear in the Proceedings of JSM 2009. TR1156, September 2009. (PDF)

Kailiang Wu, Bin Dai. Golden Week Tourist Flow Forecasting Based on Neural Network. In Conference on Industrial Technology (ICIT), 2006, India. (PDF)

Hongjie Zhu, Bin Dai, Yafeng Zhang, Jiali Bao. Analysis of Group Coding of Multiple Amino Acides in Artificial Neural Network Applied to the Prediction of Protein Secondary Structure. In Proceeding 4th International Forum of Post-genome Technologies (IFPT'4), 2006, China.