Add to ORKGMulti-class logistic discrimination via wavelet-based functionalization and model selection criteri
This paper describes a new approach for the selection of discriminant time-frequency features for cl...
Combined wavelet - large margin classifiers succeed in solving difficult signal classification probl...
Univariable and multivariable logistic models using TASTE as the main predictor.</p
Multi-class classification methods based on both labeled and unlabeled functional data sets are disc...
Dans le cadre de la reconnaissance de formes, la définition d'un espace de représentation est nécess...
AbstractLogistic discrimination is a partially parametric method for classifying multivariate observ...
Items with the highest discrimination parameter values in a logistic item response theory model do n...
[[abstract]]© 2009 Institute of Electrical and Electronics Engineers - Multiclass Mahalanobis-Taguch...
Items with the highest discrimination parameter values in a logistic item response theory model do n...
AbstractKrusinska [1] has introduced the Lp-estimate for the dichotomous and polychotomous logistic ...
<p>Criteria for comparing models with different number of classes for gender-based discrimination us...
In this paper, kernel feature selection is proposed to improve generalization performance of boostin...
We propose a penalized likelihood method that simultaneously fits the multinomial logistic regressio...
This paper presents a new non-parametric modeling technique. The method is simple and yet efficient ...
A major concern arising from the classification of spectral data is that the number of variables or ...
This paper describes a new approach for the selection of discriminant time-frequency features for cl...
Combined wavelet - large margin classifiers succeed in solving difficult signal classification probl...
Univariable and multivariable logistic models using TASTE as the main predictor.</p
Multi-class classification methods based on both labeled and unlabeled functional data sets are disc...
Dans le cadre de la reconnaissance de formes, la définition d'un espace de représentation est nécess...
AbstractLogistic discrimination is a partially parametric method for classifying multivariate observ...
Items with the highest discrimination parameter values in a logistic item response theory model do n...
[[abstract]]© 2009 Institute of Electrical and Electronics Engineers - Multiclass Mahalanobis-Taguch...
Items with the highest discrimination parameter values in a logistic item response theory model do n...
AbstractKrusinska [1] has introduced the Lp-estimate for the dichotomous and polychotomous logistic ...
<p>Criteria for comparing models with different number of classes for gender-based discrimination us...
In this paper, kernel feature selection is proposed to improve generalization performance of boostin...
We propose a penalized likelihood method that simultaneously fits the multinomial logistic regressio...
This paper presents a new non-parametric modeling technique. The method is simple and yet efficient ...
A major concern arising from the classification of spectral data is that the number of variables or ...
This paper describes a new approach for the selection of discriminant time-frequency features for cl...
Combined wavelet - large margin classifiers succeed in solving difficult signal classification probl...
Univariable and multivariable logistic models using TASTE as the main predictor.</p