Add to ORKG[[sponsorship]]統計科學研究所[[note]]已出版;[SCI];有審查制度;不具代表性[[note]]http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Drexel&SrcApp=hagerty_opac&KeyRecord=1226-3192&DestApp=JCR&RQ=IF_CAT_BOXPLO
Another popular technique for classification (or at least, which used to be popular) is the (linear)...
In the article the application of kernel functions – the so-called »kernel trick« – in the context o...
In this paper, a modified Fisher linear discriminant analysis (FLDA) is proposed and aims to not onl...
Abstract: In this paper a generalization of Fisher’s linear discriminant is pro-posed. With this new...
In the early seventies it was observed that discriminatory values obtained by the leaving-one-out me...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
In this paper, we present an iterative approach to Fisher discriminant analysis called Kullback-Leib...
A non-linear classification technique based on Fisher's discriminant is proposed. Main ingredie...
Fisher's linear discriminant analysis is one of the most commonly used and studied classification me...
The Fisher linear discriminant analysis (LDA) is a classical method for classification and dimen-sio...
A new version of Fisher's discriminant analysis (FDA) is introduced in this paper. Our algorithm sea...
It is known that two-group linear discriminant function can be constructed via binary regression. In...
Well known linear discriminant analysis (LDA) based on the Fisher criterion is incapable of dealing ...
Fisher opened many new areas in Multivariate Analysis, and the one which we will consider is discrim...
The coefficients of the classification function include Age Group, Sex and Gender, and Occupation. T...
Another popular technique for classification (or at least, which used to be popular) is the (linear)...
In the article the application of kernel functions – the so-called »kernel trick« – in the context o...
In this paper, a modified Fisher linear discriminant analysis (FLDA) is proposed and aims to not onl...
Abstract: In this paper a generalization of Fisher’s linear discriminant is pro-posed. With this new...
In the early seventies it was observed that discriminatory values obtained by the leaving-one-out me...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
In this paper, we present an iterative approach to Fisher discriminant analysis called Kullback-Leib...
A non-linear classification technique based on Fisher's discriminant is proposed. Main ingredie...
Fisher's linear discriminant analysis is one of the most commonly used and studied classification me...
The Fisher linear discriminant analysis (LDA) is a classical method for classification and dimen-sio...
A new version of Fisher's discriminant analysis (FDA) is introduced in this paper. Our algorithm sea...
It is known that two-group linear discriminant function can be constructed via binary regression. In...
Well known linear discriminant analysis (LDA) based on the Fisher criterion is incapable of dealing ...
Fisher opened many new areas in Multivariate Analysis, and the one which we will consider is discrim...
The coefficients of the classification function include Age Group, Sex and Gender, and Occupation. T...
Another popular technique for classification (or at least, which used to be popular) is the (linear)...
In the article the application of kernel functions – the so-called »kernel trick« – in the context o...
In this paper, a modified Fisher linear discriminant analysis (FLDA) is proposed and aims to not onl...