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	451	Some evidence on forecasting time-series with support vector machines Enthalten in Operational Research Society: Journal of the Operational Research Society Bd. 57, 2.11.2005, Nr. 9, date:9.2006: 1053-1063
	452	Sparse Deconvolution Using Support Vector Machines Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on advances in signal processing Bd. 2008, 3.4.2008, Nr. 1, date:12.2008: 1-13
	453	Sparse optimization via vector k-norm and DC programming with an application to feature selection for support vector machines Enthalten in Computational optimization and applications Bd. 86, 12.7.2023, Nr. 2, date:11.2023: 745-766
	454	Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree Enthalten in Landslides Bd. 13, 27.1.2015, Nr. 2, date:4.2016: 361-378
	455	Spatial prediction of landslide susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions Enthalten in Environmental earth sciences Bd. 75, 12.10.2016, Nr. 20, date:10.2016: 1-15
	456	Spectrophotometric Determination of Ternary Mixtures of Thiamin, Riboflavin and Pyridoxal in Pharmaceutical and Human Plasma by Least-Squares Support Vector Machines Enthalten in Analytical sciences Bd. 23, 10.11.2007, Nr. 11, date:11.2007: 1311-1316
	457	Splicing-site recognition of rice (Oryza sativa L.) DNA sequences by support vector machines Enthalten in Zhe jiang da xue: Journal of Zhejiang University / Science A / Applied physics and engineering Bd. 4, 1.9.2003, Nr. 5, date:9.2003: 573-577
	458	Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition Enthalten in BMC bioinformatics Bd. 8, 30.11.2007, Nr. 1, date:12.2007: 1-14
	459	Support vector machines and feed-forward neural networks for spatial modeling of groundwater qualitative parameters Enthalten in Environmental earth sciences Bd. 76, 1.9.2017, Nr. 17, date:9.2017: 1-14
	460	Support vector machines and generalized linear models for quantifying soil dehydrogenase activity in agro-forestry system of mid altitude central Himalaya Enthalten in Environmental earth sciences Bd. 75, 11.2.2016, Nr. 4, date:2.2016: 1-15

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