M. Borahan Tümer
M. Borahan Tümer
Computer Engineering Department, Engineering Faculty, Marmara University
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Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
A syntactic methodology for automatic diagnosis by analysis of continuous time measurements using hierarchical signal representations
MB Tumer, LA Belfore, KM Ropella
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33 …, 2003
332003
A genetic approach to data dimensionality reduction using a special initial population
MB Tümer, MC Demir
international Work-Conference on the Interplay between natural and …, 2005
92005
Applying hierarchical fuzzy automatons to automatic diagnosis
MB Tumer, LA Belfore, KM Ropella
1998 Conference of the North American Fuzzy Information Processing Society …, 1998
51998
Unsupervised mode detection in cyber-physical systems using variable order Markov models
BG Sürmeli, F Eksen, B Dinç, P Schüller, B Tümer
2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017
42017
Hierarchical reinforcement learning with context detection (hrl-cd)
YE Yücesoy, MB Tümer
International Journal of Machine Learning and Computing 5 (5), 353, 2015
42015
Detection of regime switching points in non-stationary sequences using stochastic learning based weak estimation method
E Aslanci, K Coşkun, P Schüller, B Tümer
2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017
22017
Construction of a learning automaton for cycle detection in noisy data sequences
A Ustimov, B Tümer
International Symposium on Computer and Information Sciences, 543-552, 2005
22005
A fuzzy syntactic approach to fault diagnostics by analysis of time-sampled signals.
MB Tumer
21999
An adaptive signal compression system with pre-specified reconstruction quality and compression rate
MB Tümer, MC Demir
Computer methods and programs in biomedicine 81 (2), 99-105, 2006
12006
Cycle detection in noisy signals by constructive automata: An adaptive syntactic approach to pattern recognition
A Ustimov
Marmara Üniversitesi, 2006
12006
Signal compression using growing cell structures: A transformational approach
B Tümer, B Demiröz
International Symposium on Computer and Information Sciences, 952-959, 2003
12003
A diagnosis methodology for continuous time measurements using hierarchical signal representations
MB Tumer, LA Belfore, KM Ropella
SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems …, 1998
11998
Multivariate Time Series Clustering and its Application in Industrial Systems
BG Sürmeli, MB Tümer
Cybernetics and Systems 51 (3), 315-334, 2020
2020
Multi-class categorization of user-generated content in a domain specific medium: Inferring product specifications from e-commerce marketplaces
M Kıraç, MB Tümer, K Toprak Uçar
2020
Multi-class categorization of user-generated content in a domain specific medium: inferring product specifications from e-commerce marketplaces
KT Uçar, MB Tümer, M Kıraç
International Conference on Intelligent and Fuzzy Systems, 247-256, 2019
2019
USING HIERARCHIES IN REINFORCEMENT LEARNING FRAMEWORK WITH NON-STATIONARY ENVIRONMENTS 04.11. 2016
MB TÜMER
2016
A heteregeneous multi agent intelligent player for a real-time strategy game
MC Kurt
Marmara Üniversitesi, 2010
2010
Development of an autonomous sailor: an application of hierarchical reinforcement learning to sailing
H Şencan
Marmara Üniversitesi, 2009
2009
A methodology for constructive development of a syntactic pattern recognition machine (SPRM) using reinforcement learning principles
F Geleri
Marmara Üniversitesi, 2008
2008
Construction of a learning automaton for cycle detection in noisy data sequences
B Tümer, A Ustimov
2005
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20