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نویسنده: yahya forghani

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موارد یافت شده: 12

1 - طبقه‌بندی بااحتیاط داده‌های ابرمستطیلی، ابردایروی و ابربیضوی با حداکثر حاشیه متقارن نسبت به لبه داده‌ها (چکیده)
2 - An efficient storage-optimizing tick data clustering model (چکیده)
3 - Robust Support Vector Machines with Low Test Time (چکیده)
4 - Fuzzy Min–Max Neural Network for Learning a Classifier with Symmetric Margin (چکیده)
5 - Robust support vector machine-trained fuzzy system (چکیده)
6 - Comment on ”Robustness and Regularization of Support Vector Machines” by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009) (چکیده)
7 - Classification of fuzzy data based on the support vector machines (چکیده)
8 - Comment on ‘‘Support vector machine for classification based on fuzzy training data’’ by A.-B. Ji, J.-H. Pang, H.-J. Qiu [Expert Systems with Applications 37 (2010) 3495–3498] (چکیده)
9 - Support Vector Regression with Fuzzy Target Output (چکیده)
10 - Fuzzy Support Vector Regression (چکیده)
11 - Support Vector Data Description by Using Hyper-ellipse Instead of Hyper-sphere (چکیده)
12 - An extension to fuzzy support vector data description-FSVDD (چکیده)