Result 1 to 20 of 55 total
Blind Kriging: implementation and performance analysis. (English)
Adv. Eng. Softw. 49, 1-13 (2012).
1
Rational modeling algorithm for passive microwave structures and systems. (English)
Günther, Michael (ed.) et al., Progress in industrial mathematics at ECMI 2010. Proceedings of the 16th European conference on mathematics for industry, Wuppertal, Germany, July 26‒30, 2010. Berlin: Springer (ISBN 978-3-642-25099-6/hbk; 978-3-642-25100-9/ebook). Mathematics in Industry 17, 37-43 (2012).
2
Passivity-preserving interpolation-based parameterized model order reduction of PEEC models based on scattered grids. (English)
Int. J. Numer. Model. 24, No. 5, 478-495 (2011).
3
A novel hybrid sequential design strategy for global surrogate modeling of computer experiments. (English)
SIAM J. Sci. Comput. 33, No. 4, 1948-1974 (2011).
4
Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling. (English)
Eur. J. Oper. Res. 214, No. 3, 683-696 (2011).
5
Model order reduction with preservation of passivity, non-expansivity and Markov moments (English)
Systems & Control Letters 60, No. 1, 53-61 (2011).
6
An autonomous service-platform to support distributed ontology-based context-aware agents (English)
Expert Systems 28, No. 5, 437-460 (2011).
7
A surrogate modeling and adaptive sampling toolbox for computer based design. (English)
J. Mach. Learn. Res. 11, 2051-2055 (2010).
8
Generating sequential space-filling designs using genetic algorithms and Monte Carlo methods. (English)
Deb, Kalyanmoy (ed.) et al., Simulated evolution and learning. 8th international conference, SEAL 2010, Kanpur, India, December 1‒4, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-17297-7/pbk). Lecture Notes in Computer Science 6457, 80-84 (2010).
9
Multiobjective global surrogate modeling, dealing with the 5-percent problem. (English)
Eng. Comput. (Lond.) 26, No. 1, 81-98 (2010).
10
Design of a probabilistic ontology-based clinical decision support system for classifying temporal patterns in the ICU: A sepsis case study (English)
CBMS, 389-394 (2010).
11
Link state protocol data mining for shared risk link group detection (English)
ICCCN, 1-8 (2010).
12
On the construction of guaranteed passive macromodels for high-speed channels (English)
DATE, 1142-1147 (2010).
13
Generating sequential space-filling designs using genetic algorithms and Monte Carlo methods (English)
SEAL, 80-84 (2010).
14
Evolutionary model type selection for global surrogate modeling. (English)
J. Mach. Learn. Res. 10, 2039-2078 (2009).
15
Sequential modeling of a low noise amplifier with neural networks and active learning. (English)
Neural Comput. Appl. 18, No. 5, 485-494 (2009).
16
Pareto-based multi-output metamodeling with active learning. (English)
Palmer-Brown, Dominic (ed.) et al., Engineering applications of neural networks. 11th international conference, EANN 2009, London, UK, August 27‒29, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-03968-3/pbk; 978-3-642-03969-0/ebook). Communications in Computer and Information Science 43, 389-400 (2009).
17
Magnitude vector fitting to interval data. (English)
Math. Comput. Simul. 80, No. 3, 572-580 (2009).
18
Evolutionary regression modeling with active learning: An application to rainfall runoff modeling. (English)
Kolehmainen, Mikko (ed.) et al., Adaptive and natural computing algorithms. 9th international conference, ICANNGA 2009, Kuopio, Finland, April 23‒25, 2009. Revised selected papers. Berlin: Springer (ISBN 978-3-642-04920-0/pbk). Lecture Notes in Computer Science 5495, 548-558 (2009).
19
Pareto-based multi-output model type selection. (English)
Corchado, Emilio (ed.) et al., Hybrid artificial intelligence systems. 4th international conference, HAIS 2009, Salamanca, Spain, June 10‒12, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-02318-7/pbk). Lecture Notes in Computer Science 5572. Lecture Notes in Artificial Intelligence, 442-449 (2009).
20
Result 1 to 20 of 55 total
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