Add to ORKGAbstract—We present a new method of multiclass classification based on the combination of one-vs-all method and a modification of one-vs-one method. This combination of one-vs-all and one-vs-one methods proposed enforces the strength of both methods. A study of the behavior of the two methods identifies some of the sources of their failure. The performance of a classifier can be improved if the two methods are combined in one, in such a way that the main sources of their failure are partially avoided. Index Terms—Multiclass, classification, one-vs-one, one-vs-all, neural networks, support vector machines.
In this paper we have studied the concept and need of Multiclass classification in scientific resear...
Usage of recognition systems has found many applications in almost all fields. However, Most of clas...
Traditional artificial neural architectures possess limited ability to address the scale problem exh...
We present a new method of multiclass classification based on the combination of one- vs- all method...
Support Vector Machine (SVM) is a binary classifier, but most of the problems we find in the real-li...
Editor: John Shawe-Taylor We consider the problem of multiclass classification. Our main thesis is t...
One-against-all and one-against-one are two popular methodologies for reducing multiclass classifica...
Problem of pattern recognition is accompanying our whole life, therefore methods of automatic patter...
. The solution of binary classification problems using support vector machines (SVMs) is well develo...
Abstract. It has been accepted that multiple classifier systems provide a platform for not only perf...
Several real problems involve the classification of data into categories or classes. Given a data se...
We present a novel hierarchical approach to multi-class classification which is generic in that it c...
Abstract-A multiple classifier system is a powerful solution to difficult pattern recognition proble...
In this article we are going to discuss the improvement of the multi classes- classification problem...
We present a novel method to perform multi-class pattern classification with neural networks and tes...
In this paper we have studied the concept and need of Multiclass classification in scientific resear...
Usage of recognition systems has found many applications in almost all fields. However, Most of clas...
Traditional artificial neural architectures possess limited ability to address the scale problem exh...
We present a new method of multiclass classification based on the combination of one- vs- all method...
Support Vector Machine (SVM) is a binary classifier, but most of the problems we find in the real-li...
Editor: John Shawe-Taylor We consider the problem of multiclass classification. Our main thesis is t...
One-against-all and one-against-one are two popular methodologies for reducing multiclass classifica...
Problem of pattern recognition is accompanying our whole life, therefore methods of automatic patter...
. The solution of binary classification problems using support vector machines (SVMs) is well develo...
Abstract. It has been accepted that multiple classifier systems provide a platform for not only perf...
Several real problems involve the classification of data into categories or classes. Given a data se...
We present a novel hierarchical approach to multi-class classification which is generic in that it c...
Abstract-A multiple classifier system is a powerful solution to difficult pattern recognition proble...
In this article we are going to discuss the improvement of the multi classes- classification problem...
We present a novel method to perform multi-class pattern classification with neural networks and tes...
In this paper we have studied the concept and need of Multiclass classification in scientific resear...
Usage of recognition systems has found many applications in almost all fields. However, Most of clas...
Traditional artificial neural architectures possess limited ability to address the scale problem exh...