Classification with Support Vector Machines (SVMs)
Virtual Examples for Text Classification with Support Vector Machines
... text classification with Support Vector Machines ...text classification based on the assump- tion that the category of a document is un- changed even if a small number of words are ...
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Dimension Reduction in Text Classification with Support Vector Machines
... Support vector machines (SVMs) have been recognized as one of the most successful classifica- tion methods for many applications including text ...in support vector machines may ...
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Investigation of Support Vector Machines for Classification
... that Support Vector Machines are not as robust as firstly ...that classification using SVMs work well but they still are vulnerable to the effects of an outlier which can cause the SVM ...
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Classification with support vector machines and Kolmogorov-Smirnov bounds.
... for classification is presented that allows such important aspects to be incorporated without additional assumptions, instead it uses the framework of imprecise probability [4, 29] and it can be used for a wide ...
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Classification under input uncertainty with support vector machines
... years. Support vector machines (SVMs) as one of the kernel-based maximum margin methods, maximising the margin between two class to hold an upper bound for the generalisation error, have played a key ...
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Correlation kernels for support vector machines classification with applications in cancer data
... Copyright © 2012 H. Jiang and W.-K. Ching. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided ...
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High-Dimensional Data Classification Based on Smooth Support Vector Machines
... Support vector machines (SVMs) [3], as well as other machine such as neural networks and logistic regression have been developed in many ways to deal with supervised learning or classification ...
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Support Vector Machines for Classification and Regression
... Conclusions Support Vector Machines are an attractive approach to data ...In classification problems generalisation control is obtained by maximising the margin, which corresponds to ...
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Poetry Classification Using Support Vector Machines
... automatic classification of literary text such as ...the classification of Malay pantun using Support Vector Machines ...both classification experiments and the shape feature for ...
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Multiclass Classification with Cross Entropy-Support Vector Machines
... Budi Santosa a a Teknik Industri, ITS, Kampus ITS Surabaya, 60111, Indonesia Abstract In this paper, an important sampling method – Cross Entropy method is presented to deal with solving support vector ...
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Visualization for Classification Problems, with Examples Using Support Vector Machines
... form support vector machines (SVM) de- fine a separating hyperplane between classes generated from a subset of cases, called support ...The support vectors “mark” the boundary between ...
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Robust support vector machines for classification with nonconvex and smooth losses
... margin support vector ...robust support vector classifiers (RSVC), which is interpreted from a weighted viewpoint in this work, is due to the use of nonconvex classification ...smooth ...
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Text Classification Using Ensemble Of Non Linear Support Vector Machines
... and classification of the text document is a useful task due to its many potential applications such as classifying emails into spam or non-spam categories, news articles into political, entertainment, stock ...
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Neural networks and support vector machines based bio-activity classification
... 2.4 Support Vector Machines Support vector machines have recently found considerable attention in classification problems due to its generalization ...binary ...
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Support vector machines for texture classification
... texture classification method to assess the potential of SVMs in texture ...multitexture classification problem, one-against-others decomposition is adopted and a neural network used to arbitrate the ...
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Multiclass Classification Using Support Vector Machines
... packages used are presented in the following subsections. By construction, the SVM classifier works only on dichotomous data. A practical SVM combines the kernel trick with the soft-margin classifier to enhance its ...
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Support vector machines in projects risk classification
... ARTICLE INFO ABSTRACT Projects are fundamental to organizations, but they are subject to the occurrence of risks, which can affect their success. Therefore, project managers seek to manage risks by demanding decisions ...
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Pairwise Classification and Pairwise Support Vector Machines
... This approach was tested on several datasets. However, first results showed that this approach of enforcing the symmetry of pairwise decision functions is inferior to the approach of using projections for pairwise SVMs. ...
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Support Vector Machines for Dynamic Biometric Handwriting Classification
... excellent classification rates for samples of trained persons the system might still by prone to false-classification of samples from not enrolled ...
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APPLICATIONS OF SUPPORT VECTOR MACHINES TO CANCER CLASSIFICATION WITH MICROARRAY DATA
... Microarray gene expression data usually have a large number of dimensions, e.g., over ten thousand genes, and a small number of samples, e.g., a few tens of patients. In this paper, we use the support ...
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