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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
Purpose Text mining has been used for various knowledge discovery based applications, and thus, a lot of research has been contributed towards it. Latest trending research in the text mining is adopting the incremental learning data, as it is economical while dealing with large volume of...
Persistent link: https://www.econbiz.de/10014712650
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Optimization of a photovoltaic system : a case study Kosovo
Bylykbashi, Blerina; Filkoski, Risto Vasil - In: International journal of innovation science 16 (2024) 2, pp. 286-295
Persistent link: https://www.econbiz.de/10014515606
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Design of Complex Systems in the presence of Large Uncertainties: a statistical approach
Koutsourelakis, P - 2008
The design or optimization of engineering systems is generally based on several assumptions related to the loading … performance function(s) of interest are also random and optimization of the system with respect to the design variables has to be …) probit regression schemes and propose an a priori boosting scheme that can improve the accuracy of the estimators. In all …
Persistent link: https://www.econbiz.de/10009436326
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Inaccurate value at risk estimations : bad modeling or inappropriate data?
Vasileiou, Evangelos - In: Computational economics 59 (2022) 3, pp. 1155-1171
Persistent link: https://www.econbiz.de/10013169235
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Strategic management of IT practices in tourism for operation and service enhancement
Rubio Sánchez, Juan Luis; Revilla, Raquel García; … - In: Administrative Sciences 13 (2023) 1, pp. 1-18
conducted a survey to obtain the necessary data and developed a methodology that is based on an optimization procedure. This …
Persistent link: https://www.econbiz.de/10014333147
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Strategic management of IT practices in tourism for operation and service enhancement
Rubio Sánchez, Juan Luis; Revilla, Raquel García; … - In: Administrative Sciences : open access journal 13 (2023) 1, pp. 1-18
conducted a survey to obtain the necessary data and developed a methodology that is based on an optimization procedure. This …
Persistent link: https://www.econbiz.de/10014231454
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Class decomposition for GA-based classifier agents – A Pitt approach
Guan, S U; Zhu, F - 2004
Incremental learning has been widely addressed in the machine learning literature to cope with learning tasks where the learning environment is ever changing or training samples become available over time. However, most research work explores incremental learning with statistical algorithms or...
Persistent link: https://www.econbiz.de/10009465587
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An Incremental Approach to Genetic Algorithms Based Classification
Guan, S U; Zhu, F - 2005
Incremental learning has been widely addressed in the machine learning literature to cope with learning tasks where the learning environment is ever changing or training samples become available over time. However, most research work explores incremental learning with statistical algorithms or...
Persistent link: https://www.econbiz.de/10009465588
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An Incremental Multilinear System for Human Face Learning and Recognition
Wang, Jin - 2010
evaluating the performance of the proposed method: (1) recognition accuracy and (2) computational complexity. In order to …
Persistent link: https://www.econbiz.de/10009460565
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Incremental learning with support vector machines
Rüping, Stefan - 2002
Support Vector Machines (SVMs) have become a popular tool for learning with large amounts of high dimensional data. However, it may sometimes be preferable to learn incrementally from previousSVM results, as computing a SVM is very costly in terms of time and memory consumption or because the...
Persistent link: https://www.econbiz.de/10010316620