Search Results - subject:"Support Vector Machine"

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Least-squares support vector machine approach to viral replication origin prediction

Cruz-Cano, Raul; Chew, David S. H.; Choi, Kwok-pui; … - In: INFORMS journal on computing : JOC 22 (2010) 3, pp. 457-470

Persistent link: https://www.econbiz.de/10008651608

The power of patterns and pattern recognition when developing information-based strategy

Clemons, Eric K. - In: Journal of management information systems : JMIS 27 (2010/11) 1, pp. 69-95

Persistent link: https://www.econbiz.de/10008653577

Frequent knowledge patterns in evolutionary decision support systems for financial time series analysis

Lipinski, Piotr - In: Natural computing in computational finance : volume 3 ; …, (pp. 131-145). 2010

Persistent link: https://www.econbiz.de/10009514540

Greek long-term energy consumption prediction using artificial neural networks

Ekonomou, L. - In: Energy 35 (2010) 2, pp. 512-517

with the results produced by a linear regression method, a support vector machine method and with real energy consumption …

Persistent link: https://www.econbiz.de/10010809482

Optimization of SVM parameters for recognition of regulatory DNA sequences

Damaševičius, Robertas - In: TOP: An Official Journal of the Spanish Society of … 18 (2010) 2, pp. 339-353

Persistent link: https://www.econbiz.de/10008775623

A coordinate gradient descent method for linearly constrained smooth optimization and support vector machines training

Tseng, Paul; Yun, Sangwoon - In: Computational Optimization and Applications 47 (2010) 2, pp. 179-206

Persistent link: https://www.econbiz.de/10008674177

Der Einsatz von Support Vector Machines zur Kreditwürdigkeitsbeurteilung von Unternehmen

Trustorff, Jan-Henning - 2010

Persistent link: https://www.econbiz.de/10003971627

SVM kernels for time series analysis

Rüping, Stefan - 2001

Time series analysis is an important and complex problem in machine learning and statistics. Real-world applications can consist of very large and high dimensional time series data. Support Vector Machines (SVMs) are a popular tool for the analysis of such data sets. This paper presents some SVM...

Persistent link: https://www.econbiz.de/10009776763

Comparison between the regression depth method and the support vector machine to approximate the minimum number of misclassifications

Christmann, Andreas; Fischer, Paul; Joachims, Thorsten - 2000

compare the results of the regression depth method with the support vector machine approach proposed by Vapnik (1998) and a …

Persistent link: https://www.econbiz.de/10009781537

Separation of car-dependent commuters from normal-choice riders in mode-choice analysis

Sohn, Keemin; Yun, Jiyoung - In: Transportation 36 (2009) 4, pp. 423-436

Persistent link: https://www.econbiz.de/10005004506

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