ISSN 1055-6788 (Print); ISSN 1029-4937 (Online)
Publisher: Taylor and Francis Ltd
Preface pp. 1-1(1) Authors: Floudas, Christodoulos; Prokopyev, Oleg
An optimization-based approach for data classification pp. 3-9(7) Authors: Busygin, St.; Prokopyev, O. A.; Pardalos, P. M.
Set covering approach for reconstruction of sibling relationships pp. 11-24(14) Authors: Chaovalitwongse, W. A.; Berger-Wolf, T. Y.; Dasgupta, B.; Ashley, M. V.
Solving large protein secondary structure classification problems by a nonlinear complementarity algorithm with {0, 1} variables pp. 25-49(25) Authors: Cifarelli, C.; Patrizi, G.
Novel formulations for the sequence selection problem in de novo protein design with flexible templates pp. 51-71(21) Authors: Fung, H. K.; Taylor, M. S.; Floudas, C. A.
A classification method based on generalized eigenvalue problems pp. 73-81(9) Authors: Guarracino, M. R.; Cifarelli, C.; Seref, O.; Pardalos, P. M.
Real time input subset selection for linear time-variant MIMO systems pp. 83-98(16) Authors: Kim, S. -P.; Sanchez, J. C.; Principe, J. C.
The study of drug-reaction relationships using global optimization techniques pp. 99-126(28) Authors: Mammadov, M. A.; Rubinov, A. M.; Yearwood, J.
Global pairwise sequence alignment through mixed-integer linear programming: a template-free approach pp. 127-144(18) Authors: McAllister, S. R.; Rajgaria, R.; Floudas, C. A.
Quality assessment of gene selection in microarray data pp. 145-154(10) Authors: Park, C. H.; Jeon, M.; Pardalos, P.; Park, H.
Protein image alignment via tensor product cubic splines pp. 155-168(14) Authors: Potra, F. A.; Liu, X.
Genetic networks: processing data, regulatory network modelling and their analysis pp. 169-185(17) Authors: Thai, M. T.; Cai, Z.; Du, D. Z.
Robust support vector machines for classification and computational issues pp. 187-198(12) Authors: Trafalis, T. B.; Gilbert, R. C.
Feature selection algorithms in classification problems: an experimental evaluation pp. 199-212(14) Authors: Salappa, A.; Doumpos, M.; Zopounidis, C.
Application of the data mining techniques to the systems biology of neuritogenesis pp. 215-224(10) Authors: Zhang, Z. Q.; Kammerdiner, A. R.; Busygin, S.; Ottens, A. K.; Larner, S. F.; Kobeissy, F. H.; Pardalos, P. M.; Hayes, R. L.; Wang, K. K.
Regularized nonsmooth Newton method for multi-class support vector machines pp. 225-236(12) Authors: Zhong, Ping; Fukushima, Masao