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In this work, we propose a new concept of neighborhood margin and neighborhood soft margin to measure the minimal distance between different classes. We use the ...
Abstract. Feature selection is considered to be a key preprocessing step in machine learning and pattern recognition. Feature evaluation is one of.
We use the criterion of neighborhood soft margin to evaluate the quality of candidate features and construct a forward greedy algorithm for feature selection.
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Mar 6, 2010 · We conduct the neighborhood soft margin based feature selection algorithm on these classification tasks and observe the variation of ...
Feb 29, 2024 · In this article, we delve into the differences between using a hard margin and a soft margin in SVM and explore the scenarios where each approach is most ...
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In this paper we introduce a margin based feature selection criterion and apply it to measure the qual- ity of sets of features. Using margins we de- vise novel ...
[PDF] Margin based feature selection - theory and algorithms
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This paper introduces a margin based feature selection criterion and applies it to measure the quality of sets of features and devise novel selection ...
In this paper, we present an alternative SVM model with feature selection and the performance of the new classifiers is compared to those of the classical soft ...
Dec 2, 2023 · 6. Soft Margin SVM: — In real-world scenarios where data might not be perfectly separable, a soft margin SVM allows for some misclassification.
Selecting relevant features for support vector machine (SVM) classifiers is important for a variety of reasons such as generalization performance, ...