473 | -- | 474 | Katya Scheinberg, Jiming Peng. PREFACESpecial section on mathematical programming in data mining and machine learning |
475 | -- | 489 | Gautam Kunapuli, Kristin P. Bennett, Jing Hu, Jong-Shi Pang. Classification model selection via bilevel programming |
491 | -- | 500 | Reshma Khemchandani, Jayadeva, Suresh Chandra. Linear potential proximal support vector machines for pattern classification |
501 | -- | 520 | Joachim Dahl, Lieven Vandenberghe, Vwani P. Roychowdhury. Covariance selection for nonchordal graphs via chordal embedding |
521 | -- | 532 | Volkan Vural, Glenn Fung, Jennifer G. Dy, Bharat Rao. a priori metric information |
533 | -- | 549 | Yongqiao Wang, Xun Zhang, Shouyang Wang, K. K. Lai. Nonlinear clustering-based support vector machine for large data sets |
551 | -- | 574 | Ahmet Duran, Gunduz Caginalp. Parameter optimization for differential equations in asset price forecasting |
575 | -- | 592 | Christopher Kumar Anand, Tingting Ren, Tamás Terlaky. Optimizing Teardrop, an MRI sampling trajectory |
593 | -- | 608 | Elisa Castorini, Paolo Nobili, Chefi Triki. Optimal routing and resource allocation in multi-hop wireless networks |
609 | -- | 629 | T. Pham Dinh, H. A. Le Thi, F. Akoa. Combining DCA (DC Algorithms) and interior point techniques for large-scale nonconvex quadratic programming |
631 | -- | 647 | Michael P. Friedlander, Kathrin Hatz. Computing non-negative tensor factorizations |