We review the recently proposed method of Relevance Vector Machines which is a supervised training method related to Support Vector Machines. We also review the statistical technique of Canonical Correlation Analysis and its implementation in a Feature Space. We show how the technique of Relevance Vectors may be applied to the method of Kernel Canonical Correlation Analysis to gain a very spars...

In this paper, we compare two powerful kernel-based learning machines, support vector machines (SVM) and relevance vector machines (RVM), within the framework of hidden Markov model-based speech recognit ion. Both machines provide nonlinear discriminative classification ability: the SVM by kernelbased margin maximization and the RVM using a Bayesian probabilistic framework. The hybrid systems a...

various statistical methods have been proposed in terms of predicting the outcomes of facing special factors. in the classical approaches,  making the probability distribution or known probability density functions is ordinarily necessary to predict the desired outcome. however, most of the times enough information about the probability distribution of studied variables is not available to the ...

in this paper, we present a new brain tissue segmentation method based on a hybrid hierarchical approach that combines a brain atlas as a priori information and a least-square support vector machine (ls-svm). the method consists of three steps. in the first two steps, the skull is removed and cerebrospinal fluid (csf) is extracted. these two steps are performed using the fast toolbox (fmrib's a...

Kernel-based machine learning algorithms are based on mapping data from the original input feature space to a kernel feature space of higher dimensionality to solve a linear problem in that space. Over the last decade, kernel based classification and regression approaches such as support vector machines have widely been used in remote sensing as well as in various civil engineering applications...

The meaning of the hypertropy word is the increasing size.Heart hypertropy is symptoms of increase the thickness of the heart muscle that the left ventricular hypertrophy of them is the most common.The causes of hypertrophy heart disease are high blood pressure , aortic valve stenosis and sport activities respectively. Assessment of that by using ECG signal analysis is essential Because the ris...