679 | -- | 691 | Jianhong Zhou, Alan T. K. Wan, Dalei Yu. Frequentist model averaging for zero-inflated Poisson regression models |
692 | -- | 706 | Zhengtian Zhu, Liping Zhu. Distributed dimension reduction with nearly oracle rate |
707 | -- | 721 | Shantanu Awasthi, Indranil Sengupta, William Wilson, Prithviraj Lakkakula. Machine learning and neural network based model predictions of soybean export shares from US Gulf to China |
722 | -- | 735 | Linxi Li, Qin Wang, Chenlu Ke. Local support vector machine based dimension reduction |
736 | -- | 750 | Jean Feng, Noah Simon. Ensembled sparse-input hierarchical networks for high-dimensional datasets |
751 | -- | 765 | Xijun Liang, Zhipeng Zhang, Xingke Chen, Ling Jian. Kernel learning with nonconvex ramp loss |
766 | -- | 780 | Mai Dao, Min Wang 0004, Souparno Ghosh. A novel Bayesian method for variable selection and estimation in binary quantile regression |
781 | -- | 796 | Tianmou Liu, Han Yu, Rachael Hageman Blair. Out-of-bag stability estimation for k-means clustering |
797 | -- | 818 | Peide Li, Seyyid Emre Sofuoglu, Selin Aviyente, Tapabrata Maiti. Coupled support tensor machine classification for multimodal neuroimaging data |