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  • Search: subject:"Kernel-Based Methods"
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Year of publication
Subject
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Classification 1 Fixed-size LS-SVM 1 Kernel based methods 1 Kernel-Based Methods 1 Least squares support vector machines 1 Load forecasting 1 Nyström approximation 1 Primal space regression 1 Regression 1 Sparseness 1 Supervised Learning 1 Support Vector Machines 1 Time series 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 2
Language
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English 1 Undetermined 1
Author
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COCIANU, Catalina 1 Espinoza, Marcelo 1 FUSARU, Doina 1 Moor, Bart 1 STATE, Luminita 1 Suykens, Johan 1
Published in...
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Computational Management Science 1 Informatica Economica 1
Source
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RePEc 2
Showing 1 - 2 of 2
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A Survey on Potential of the Support Vector Machines in Solving Classification and Regression Problems
STATE, Luminita; COCIANU, Catalina; FUSARU, Doina - In: Informatica Economica 14 (2010) 3, pp. 128-139
Kernel methods and support vector machines have become the most popular learning from examples paradigms. Several areas of application research make use of SVM approaches as for instance hand written character recognition, text categorization, face detection, pharmaceutical data analysis and...
Persistent link: https://www.econbiz.de/10009416307
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Cover Image
Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting
Espinoza, Marcelo; Suykens, Johan; Moor, Bart - In: Computational Management Science 3 (2006) 2, pp. 113-129
Persistent link: https://www.econbiz.de/10005596522
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