In this paper, we introduce the Bayesian committee support vector machine (BC-SVM) and achieve an algorithm for training the SVM which scales linearly in the ...
In this paper, we introduce the Bayesian committee support vector machine (BC-SVM) and achieve an algorithm for training the SVM which scales linearly in the ...
Aug 17, 2001 · In this paper, we introduce the Bayesian committee support vector machine (BC-SVM) and achieve an algorithm for training the SVM which scales ...
May 2, 2015 · In this paper, we introduce the Bayesian committee support vector machine (BC-SVM) and achieve an algorithm for training the SVM which scales ...
Abstract. The Bayesian committee machine (BCM) is a novel approach to combining esti- mators which were trained on different data sets.
The goal of this paper is to thoroughly review SVMs from the optimization point of view. Examining the many aspects of SVM optimization problems, it is useful ...
The Bayesian committee machine (BCM) is a novel approach to combining estimators that were trained on different data sets.
People also ask
Who founded support vector machine?
What is the difference between support vector machine and naive Bayes?
What is SVM used for?
What is the theory of support vector machine?
In this paper, we introduce the Bayesian committee support vector machine (BC-SVM) and achieve an algorithm for training the SVM which scales linearly in the ...
ABSTRACT. In this paper we introduce the Generalized Bayesian Com- mittee Machine (GBCM) for applications with large data sets. In particular, the GBCM can ...
It is found that the performance of the BCM improves if several test points are queried at the same time and is optimal if the number of test points is at ...