منابع مشابه
Multiple Instance Twin Support Vector Machines ∗
Considering the multiple instance learning(MIL) in classification problem, a novel multiple instance twin support vector machines(MI-TWSVM) method is proposed. For linear classification, unlike other maximum margin SVM-based MIL methods, the proposed approach leads to two non-parallel hyperplanes. The non-linear classification via kernels is also studied. Preliminary experimental results on pub...
متن کاملPolynomial Smooth Twin Support Vector Machines
Smoothing functions can transform the unsmooth twin support vector machines (TWSVM) into smooth ones, and thus better classification results can be obtained. It has been one of the key problems to seek a better smoothing function in this field for a long time. In this paper, a novel version for smooth TWSVM, termed polynomial smooth twin support vector machines (PSTWSVM), is proposed. In PSTWSV...
متن کاملMultitask centroid twin support vector machines
Twin support vector machines are a recently proposed learning method for binary classification. They learn two hyperplanes rather than one as in conventional support vector machines and often bring performance improvements. However, an inherent shortage of twin support vector machines is that the resultant hyperplanes are very sensitive to outliers in data. In this paper, we propose centroid tw...
متن کاملMulti-view twin support vector machines
Twin support vector machines are a recently proposed learning method for binary classification. They learn two hyperplanes rather than one as in conventional support vector machines and often bring performance improvements. Multiview learning is concerned about learning from multiple distinct feature sets, which aims to exploit distinct views to improve generalization performance. In this paper...
متن کاملFuzzy Least Squares Twin Support Vector Machines
Least Squares Twin Support Vector Machine (LSTSVM) is an extremely efficient and fast version of SVM algorithm for binary classification. LSTSVM combines the idea of Least Squares SVM and Twin SVM in which two nonparallel hyperplanes are found by solving two systems of linear equations. Although, the algorithm is very fast and efficient in many classification tasks, it is unable to cope with tw...
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ژورنال
عنوان ژورنال: Annals of Data Science
سال: 2014
ISSN: 2198-5804,2198-5812
DOI: 10.1007/s40745-014-0018-4