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  • Search: subject:"competitive learning"
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Year of publication
Subject
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competitive learning 3 exception learning 2 fuzzy pattern recognition 2 Competitive Learning Strategy 1 Competitive learning 1 Coopetition 1 Ego-network density 1 Gender 1 Learning Outcomes 1 Reinforcement learning 1 Relative structural holes 1 Teacher Centered Learning Strategies 1 Technological invasion 1 business simulator 1 multi-agent learning 1
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Online availability
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Free 3 Undetermined 2
Type of publication
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Article 3 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 4 English 1
Author
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BORRAJO, FERNANDO 1 Berg, J. van den 1 Bergh, W.M. van den 1 FERNÁNDEZ, FERNANDO 1 Feiyang, Guan 1 GARCÍA, JAVIER 1 Okereke, Chinwe 1 Sun, Linbing 1 Tang, Liqing 1 Ugwuegbulam, Charles N. 1 Wang, Tienan 1 van den Berg, van den Berg, J. 1 van den Bergh, W.M. 1
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Institution
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Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. 1 Erasmus Research Institute of Management (ERIM), Erasmus Universiteit Rotterdam 1
Published in...
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ERIM Report Series Research in Management 1 European management journal 1 International Journal of Academic Research in Progressive Education and Development 1 International Journal of Information Technology & Decision Making (IJITDM) 1 Research Paper / Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. 1
Source
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RePEc 4 ECONIS (ZBW) 1
Showing 1 - 5 of 5
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Don't ignore either side : the differential impact of ego-network density of the focal firm and partner on technological invasion
Tang, Liqing; Wang, Tienan; Feiyang, Guan; Sun, Linbing - In: European management journal 43 (2025) 4, pp. 628-639
Persistent link: https://www.econbiz.de/10015652103
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Effects of Competitive Learning Strategy on Secondary School Students Learning Outcomes: Implications for Counselling
Okereke, Chinwe; Ugwuegbulam, Charles N. - In: International Journal of Academic Research in … 3 (2014) 2, pp. 137-143
This study sought to find out the effects of competitive learning strategy on secondary school students learning … collected were analyzed using Analysis of Covariance (ANCOVA). The findings showed that competitive learning strategy enhanced … competitive learning strategy in the classrooms. Again, students should be motivated to learn through healthy quiz competitions to …
Persistent link: https://www.econbiz.de/10011198645
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REINFORCEMENT LEARNING FOR DECISION-MAKING IN A BUSINESS SIMULATOR
GARCÍA, JAVIER; BORRAJO, FERNANDO; FERNÁNDEZ, FERNANDO - In: International Journal of Information Technology & … 11 (2012) 05, pp. 935-960
Business simulators are powerful tools for both supporting the decision-making process of business managers as well as for business education. An example is SIMBA (SIMulator for Business Administration), a powerful simulator which is currently used as a web-based platform for business education...
Persistent link: https://www.econbiz.de/10011011067
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Competitive exception learning using fuzzy frequency distributions
Bergh, W.M. van den; Berg, J. van den - Erasmus Research Institute of Management (ERIM), ERIM … - 2000
A competitive exception learning algorithm for finding a non-linear mapping is proposed which puts the emphasis on the discovery of the important exceptions rather than the main rules. To do so,we first cluster the output space using a competitive fuzzy clustering algorithm and derive a fuzzy...
Persistent link: https://www.econbiz.de/10005288326
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Competitive exception learning using fuzzy frequency distributions
van den Bergh, W.M.; van den Berg, van den Berg, J. - Erasmus Research Institute of Management (ERIM), … - 2000
A competitive exception learning algorithm for finding a non-linear mapping is proposed which puts the emphasis on the discovery of the important exceptions rather than the main rules. To do so,we first cluster the output space using a competitive fuzzy clustering algorithm and derive a fuzzy...
Persistent link: https://www.econbiz.de/10010731489
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