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	241	Support Vector Machines for Classification in Nonstandard Situations Enthalten in Machine learning Bd. 46, Nr. 1-3, date:1.2002: 191-202
	242	Choosing Multiple Parameters for Support Vector Machines Enthalten in Machine learning Bd. 46, Nr. 1-3, date:1.2002: 131-159
	243	Hierarchical Learning in Polynomial Support Vector Machines Enthalten in Machine learning Bd. 46, Nr. 1-3, date:1.2002: 53-70
	244	Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities Enthalten in Machine learning Bd. 46, Nr. 1-3, date:1.2002: 21-52
	245	A font and size-independent OCR system for printed Kannada documents using support vector machines Enthalten in Sādhāna Bd. 27, Nr. 1, date:2.2002: 35-58
	246	Support Vector Machines and the Bayes Rule in Classification Enthalten in Data mining and knowledge discovery Bd. 6, Nr. 3, date:7.2002: 259-275
	247	Extracting Phonetic Knowledge from Learning Systems: Perceptrons, Support Vector Machines and Linear Discriminants Enthalten in Applied intelligence Bd. 12, Nr. 1-2, date:1.2000: 43-62
	248	Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap Enthalten in Neural processing letters Bd. 11, Nr. 1, date:2.2000: 51-58
	249	A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in the Ziveh Aquifer–West Azerbaijan, NW Iran Enthalten in Arabian journal of geosciences Bd. 16, 1.4.2023, Nr. 4, date:4.2023: 1-9
	250	A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS Enthalten in Environmental earth sciences Bd. 76, 17.5.2017, Nr. 10, date:5.2017: 1-15

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