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  • Search: subject:"Incremental Learning"
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Year of publication
Subject
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Incremental learning 10 Theorie 6 Theory 6 Incremental Learning 5 incremental learning 4 Data Mining 3 Data mining 3 Forecasting model 3 Learning process 3 Lernprozess 3 Prognoseverfahren 3 Support Vector Machines 3 Algorithm 2 Algorithmus 2 Artificial intelligence 2 Deep learning 2 Domain knowledge 2 Innovation transfer 2 Knowledge management 2 Knowledge transfer 2 Künstliche Intelligenz 2 Management information system 2 Management-Informationssystem 2 Mathematical programming 2 Mathematische Optimierung 2 Neural networks 2 Neuronale Netze 2 Rough set theory 2 Streaming Data 2 Transfer learning 2 Wissensmanagement 2 Accuracy 1 Agent Platforms 1 Big Data 1 Big data 1 Business information 1 Classification 1 Classifier agents 1 Computerized method 1 Computerunterstützung 1
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Online availability
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Free 10 Undetermined 10 CC license 1
Type of publication
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Article 12 Book / Working Paper 7 Other 1
Type of publication (narrower categories)
All
Article in journal 6 Aufsatz in Zeitschrift 6 Working Paper 4 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3 Article 1 research-article 1
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Language
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English 15 Undetermined 5
Author
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Rüping, Stefan 3 Alhalabi, Mobeen 2 Arya, Varsha 2 Band, Shahab S. 2 Chi, Hao Ran 2 Chui, Kwok Tai 2 Guan, S U 2 Laha, Arnab Kumar 2 Liu, Ryan Wen 2 Putatunda, Sayan 2 Zhu, F 2 Abdussami, Aftab Alam 1 Billaudel, Patrice 1 Bosse, Stefan 1 Bouzayane, Sarra 1 Devillez, Arnaud 1 Dou, Wenyu 1 Duan, Haibin 1 Farooqui, Mohammed Faizan 1 Kwok, Ron Chi-Wai 1 Lau, Raymond Yiu Keung 1 Li, Pei 1 Li, Tianrui 1 Liu, Dun 1 Mangathayaru, N. 1 Mathivanan, G. 1 Mi, Yunlong 1 Mirkovski, Kristijan 1 Padmasree, L. 1 Quan, Pei 1 Ruan, Da 1 Saad, Inès 1 Sayed Mouchaweh, Moamar 1 Shi, Yong 1 Song, Long 1 Therasa, M. 1 Venkata Sailaja, N. 1 Villermain Lecolier, Gerard 1 Wang, Jin 1 Wang, Zongrun 1
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Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1
Published in...
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European journal of operational research : EJOR 2 Journal of information & knowledge management : JIKM 2 Working paper / Indian Institute of Management, Ahmedabad 2 Data Technologies and Applications 1 Electronic commerce research 1 International Journal of Distributed Systems and Technologies (IJDST) 1 Journal of Global Optimization 1 Journal of Innovation & Knowledge (JIK) 1 Journal of innovation & knowledge : JIK 1 Mathematics and Computers in Simulation (MATCOM) 1 Physica A: Statistical Mechanics and its Applications 1 Technical Report 1 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 1
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Source
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ECONIS (ZBW) 9 RePEc 4 BASE 3 EconStor 2 Other ZBW resources 2
Showing 1 - 10 of 20
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Facilitating innovation and knowledge transfer between homogeneous and heterogeneous datasets: Generic incremental transfer learning approach and multidisciplinary studies
Chui, Kwok Tai; Arya, Varsha; Band, Shahab S.; … - In: Journal of Innovation & Knowledge (JIK) 8 (2023) 2, pp. 1-11
the source domain to the target domain. Incremental learning has played an important role in lowering the risk of … multiple rounds strategy, incremental learning, and negative transfer avoidance algorithms. These techniques enhance the …
Persistent link: https://www.econbiz.de/10015460770
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Facilitating innovation and knowledge transfer between homogeneous and heterogeneous datasets : generic incremental transfer learning approach and multidisciplinary studies
Chui, Kwok Tai; Arya, Varsha; Band, Shahab S.; … - In: Journal of innovation & knowledge : JIK 8 (2023) 2, pp. 1-11
the source domain to the target domain. Incremental learning has played an important role in lowering the risk of … multiple rounds strategy, incremental learning, and negative transfer avoidance algorithms. These techniques enhance the …
Persistent link: https://www.econbiz.de/10014388552
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Development of novel incremental question answering system using optimised deep belief network
Therasa, M.; Mathivanan, G. - In: Journal of information & knowledge management : JIKM 22 (2023) 1, pp. 1-28
Persistent link: https://www.econbiz.de/10014384893
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Concept-cognitive computing system for dynamic classification
Mi, Yunlong; Quan, Pei; Shi, Yong; Wang, Zongrun - In: European journal of operational research : EJOR 301 (2022) 1, pp. 287-299
Persistent link: https://www.econbiz.de/10013207376
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Optimal feature selection with weight optimised deep neural network for incremental learning-based intrusion detection in fog environment
Abdussami, Aftab Alam; Farooqui, Mohammed Faizan - In: Journal of information & knowledge management : JIKM 21 (2022) 3, pp. 1-33
Persistent link: https://www.econbiz.de/10013411290
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Real time location prediction with taxi-GPS data streams
Laha, Arnab Kumar; Putatunda, Sayan - 2017
Persistent link: https://www.econbiz.de/10011638257
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Travel time location prediction with taxi-GPS data streams
Laha, Arnab Kumar; Putatunda, Sayan - 2017
Persistent link: https://www.econbiz.de/10011638259
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Incremental learning for text categorization using rough set boundary based optimized Support Vector Neural Network
Venkata Sailaja, N.; Padmasree, L.; Mangathayaru, N. - In: Data Technologies and Applications 54 (2020) 5, pp. 585-601
been contributed towards it. Latest trending research in the text mining is adopting the incremental learning data, as it … the input to the proposed classifier. The proposed classifier performs incremental learning using SVNN, wherein the …
Persistent link: https://www.econbiz.de/10014712650
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A multicriteria approach based on rough set theory for the incremental periodic prediction
Bouzayane, Sarra; Saad, Inès - In: European journal of operational research : EJOR 286 (2020) 1, pp. 282-298
Persistent link: https://www.econbiz.de/10012240227
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Incremental Distributed Learning with JavaScript Agents for Earthquake and Disaster Monitoring
Bosse, Stefan - In: International Journal of Distributed Systems and … 8 (2017) 4, pp. 34-53
Ubiquitous computing and The Internet-of-Things (IoT) grow rapidly in today's life and evolving to Self-organizing systems (SoS). A unified and scalable information processing and communication methodology is required. In this work, mobile agents are used to merge the IoT with Mobile and Cloud...
Persistent link: https://www.econbiz.de/10012044188
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