SIGLEAvailable from TIB Hannover: RR 8460(2000,53) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman
We study the problem of designing support vector machine (SVM) classifiers that minimize the maximu...
Over the last couple of decades, data depth has emerged as a powerful exploratory and inferential to...
<p>SVM-MCS-ca – Support Vector Machine with Modified Cuckoo Search optimizer and classification accu...
The minimum number of misclassifications achievable with affine hyperplanes on a given set of labele...
The minimum number of misclassifications achievable with afine hyperplanes on a given set of labeled...
The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in...
In this report we show some consequences of the work done by Pontil et al. in [1]. In particular we ...
The misclassification rate is zero for A0 vs. [A1, A2, A3, A4] and A1 vs. [A3, A4], which is not pre...
Abstract. A novel classification method based on regression is proposed in this paper and then the e...
Support Vector Machines are a modern method assigned to the field of artificial intelligence. This m...
The problem of multiclass classification is considered and resolved through the mul-tiresponse linea...
<p>A comparison of accuracy of all tested methods (being: ANN – Artificial Neural Network, SVM-poly ...
The classification of observations is an important constituent of statistics and machine learning, e...
In this paper we describe a novel extension of the support vector machine, called the deep support v...
Appropriate training data always play an important role in constructing an efficient classifier to s...
We study the problem of designing support vector machine (SVM) classifiers that minimize the maximu...
Over the last couple of decades, data depth has emerged as a powerful exploratory and inferential to...
<p>SVM-MCS-ca – Support Vector Machine with Modified Cuckoo Search optimizer and classification accu...
The minimum number of misclassifications achievable with affine hyperplanes on a given set of labele...
The minimum number of misclassifications achievable with afine hyperplanes on a given set of labeled...
The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in...
In this report we show some consequences of the work done by Pontil et al. in [1]. In particular we ...
The misclassification rate is zero for A0 vs. [A1, A2, A3, A4] and A1 vs. [A3, A4], which is not pre...
Abstract. A novel classification method based on regression is proposed in this paper and then the e...
Support Vector Machines are a modern method assigned to the field of artificial intelligence. This m...
The problem of multiclass classification is considered and resolved through the mul-tiresponse linea...
<p>A comparison of accuracy of all tested methods (being: ANN – Artificial Neural Network, SVM-poly ...
The classification of observations is an important constituent of statistics and machine learning, e...
In this paper we describe a novel extension of the support vector machine, called the deep support v...
Appropriate training data always play an important role in constructing an efficient classifier to s...
We study the problem of designing support vector machine (SVM) classifiers that minimize the maximu...
Over the last couple of decades, data depth has emerged as a powerful exploratory and inferential to...
<p>SVM-MCS-ca – Support Vector Machine with Modified Cuckoo Search optimizer and classification accu...