Vojislav Kecman
Cited by
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Learning and soft computing: support vector machines, neural networks, and fuzzy logic models
V Kecman
MIT press, 2001
Learning and soft computing: Support vector machines
V Kecman
Neural Networks, and Fuzzy Logic Models, MIT Press, Cambridge, MA, 121-191, 2001
Kernel based algorithms for mining huge data sets
TM Huang, V Kecman, I Kopriva
Springer, 2006
Support vector machines–an introduction
V Kecman
Support vector machines: theory and applications, 1-47, 2005
New approach to dynamic modelling of vapour-compression liquid chillers: artificial neural networks
H Bechtler, MW Browne, PK Bansal, V Kecman
Applied Thermal Engineering 21 (9), 941-953, 2001
Multiple regression and neural networks analyses in composites machining
JT Lin, D Bhattacharyya, V Kecman
Composites Science and Technology 63 (3-4), 539-548, 2003
Combining support vector machine learning with the discrete cosine transform in image compression
J Robinson, V Kecman
IEEE Transactions on Neural Networks 14 (4), 950-958, 2003
Modelling of vapour-compression liquid chillers with neural networks
DJ Swider, MW Browne, PK Bansal, V Kecman
Applied thermal engineering 21 (3), 311-329, 2001
Gene extraction for cancer diagnosis by support vector machines—an improvement
TM Huang, V Kecman
Artificial Intelligence in Medicine 35 (1-2), 185-194, 2005
Neural networks—a new approach to model vapour‐compression heat pumps
H Bechtler, MW Browne, PK Bansal, V Kecman
International Journal of Energy Research 25 (7), 591-599, 2001
Adaptive local hyperplane classification
T Yang, V Kecman
Neurocomputing 71 (13-15), 3001-3004, 2008
Iterative single data algorithm for training kernel machines from huge data sets: Theory and performance
V Kecman, TM Huang, M Vogt
Support vector machines: Theory and Applications, 255-274, 2005
A data mining approach to financial time series modelling and forecasting
Z Vojinovic, V Kecman, R Seidel
Intelligent Systems in Accounting, Finance & Management 10 (4), 225-239, 2001
Parallel multitask cross validation for support vector machine using GPU
Q Li, R Salman, E Test, R Strack, V Kecman
Journal of Parallel and Distributed Computing 73 (3), 293-302, 2013
Margin-based ensemble classifier for protein fold recognition
T Yang, V Kecman, L Cao, C Zhang, JZ Huang
Expert Systems with Applications 38 (10), 12348-12355, 2011
Support vectors selection by linear programming
V Kecman, I Hadzic
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000
A chunking method for euclidean distance matrix calculation on large dataset using multi-gpu
Q Li, V Kecman, R Salman
2010 Ninth International Conference on Machine Learning and Applications …, 2010
Blind multiuser detector for chaos-based CDMA using support vector machine
JWH Kao, SM Berber, V Kecman
IEEE Transactions on Neural Networks 21 (8), 1221-1231, 2010
Exploiting the structural equivalence of learning fuzzy systems and radial basis function neural networks
V Kecman, BM Pfeiffer
Proceedings of the Second European Congress on Intelligent Techniques and …, 1994
Multi-target support vector regression via correlation regressor chains
G Melki, A Cano, V Kecman, S Ventura
Information Sciences 415, 53-69, 2017
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