An Emotion Detection System Based on Multi Least Squares Twin Support Vector Machine
نویسندگان
چکیده
منابع مشابه
Least Squares Twin Support Vector Machine for Multi-Class Classification
Twin support vector machine (TWSVM) was initially designed for binary classification. However, real-world problems often require the discrimination more than two categories. To tackle multi-class classification problem, in this paper, a multiple least squares twin support vector machine is proposed. Our Multi-LSTSVM solves K quadratic programming problems (QPPs) to obtain K hyperplanes, each pr...
متن کاملA comparison on multi-class classification methods based on least squares twin support vector machine
Article history: Received 9 September 2014 Received in revised form 25 January 2015 Accepted 9 February 2015 Available online xxxx
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Constitutive modeling of clay is an important research in geotechnical engineering. It is difficult to use precise mathematical expressions to approximate stress-strain relationship of clay. Artificial neural network (ANN) and support vector machine (SVM) have been successfully used in constitutive modeling of clay. However, generalization ability of ANN has some limitations, and application of...
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This paper proposes a Multiclass Least Squares Twin Support Vector Machine (MLSTSVM) classifier for multi-class classification problems. The formulation of MLSTSVM is obtained by extending the formulation of recently proposed binary Least Squares Twin Support Vector Machine (LSTSVM) classifier. For M-class classification problem, the proposed classifier seeks M-non parallel hyper-planes, one fo...
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ژورنال
عنوان ژورنال: Advances in Artificial Intelligence
سال: 2014
ISSN: 1687-7470,1687-7489
DOI: 10.1155/2014/282659