Boosted Neural Networks in Evolutionary Computation

0333959 - ÚI 2010 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Holeňa, Martin - Linke, D. - Steinfeldt, N.
Boosted Neural Networks in Evolutionary Computation.
[Neuronové sítě s boostingem v evolučních výpočtech.]
Neural Information Processing. Berlin: Springer, 2009 - (Leung, C.; Lee, M.; Chan, J.), s. 131-140. Lecture Notes in Computer Science, 5864. ISBN 978-3-642-10682-8.
[ICONIP 2009. International Conference on Neural Information Processing /16./. Bangkok (TH), 01.12.2009-05.12.2009]
Grant CEP: GA ČR GA201/08/0802; GA ČR GEICC/08/E018
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: evolutionary algorithms * empirical objective functions * surrogate modelling * surrogate modelling * artificial neural networks * boosting
Kód oboru RIV: IN - Informatika

Citováno: 3

--- KORDIK, P. - CERNY, J. On performance of Meta-learning Templates on Different Datasets. 2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). ISSN 1098-7576, 2012. [WOS]
--- KORDIK, P. - CERNY, J. - FRYDA, T. Discovering predictive ensembles for transfer learning and meta-learning. MACHINE LEARNING. ISSN 0885-6125, JAN 2018, vol. 107, no. 1, SI, p. 177-207. [WOS]
--- KORDIK, P. - FRYDA, T. - SNOREK, M. - CEPEK, M. Scalability of predictive ensembles. PROCEEDINGS OF THE 2017 12TH INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE ON COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES (CSIT 2017), VOL. 1. 2017, p. 555-560. [WOS]

Trvalý link: http://hdl.handle.net/11104/0178812